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CURRICULUM VITAEMarch 10, 2003
Name Venu Govindaraju
University Address CEDAR, UB Commons, Suite 202, Amherst, NY 14228
Local Address 137 Promenade Lane, Williamsville , NY 14221
Telephone Number 716 645 6164 x 103 716 645 6176 (fax)
Email [email protected] [email protected]
Education
PhD University at Buffalo, NY 1992Major: Computer ScienceThesis: A Computational Model for Locating Faces in Complex Scenes
MS University at Buffalo, NY 1988Major: Computer Science
BTech Indian Institute of Technology (IIT), Kharagpur 1986Major: Computer Science & EngineeringThesis: Software System for Image Processing and Pattern Recognition
Employment History
University at Buffalo Professor Computer Science & Engineering 8/02 - onwardsUniversity at Buffalo Associate Professor Computer Science & Engineering 9/00 - 8/02University at Buffalo Associate Professor (Research) Computer Science 1/98 - 9/00University at Buffalo Member of Graduate Faculty Computer Science 1/96 - presentUniversity at Buffalo Assistant Professor (Research) Computer Science 1/92 - 12/97CEDAR Associate Director 1/95 - presentCEDAR Research Scientist 6/91 - presentUniversity at Buffalo Graduate Assistant Computer Science 9/86 - 6/91
Awards
40 Under Forty Honoree Business First, November 7, 2002, Buffalo, NYOutstanding Young Investigator Int. Conf. on Document Analysis and
Recognition, Seattle, September 2001Outstanding Research Award Presented by UB President Greiner and
Vice President of USPS, September 1998Patent (US 5,515,455) for Cursive Script Recognition May 1996
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Honors
• Licensed HWAI technology to UK Royal Mail and secured a total royalty revenue of $280,000 tothe Technology Transfer Office, University at Buffalo, NY (April 2002).
• Licensed HWAI technology to Australia Post and secured a total royalty revenue of $180,000 tothe Technology Transfer Office, University at Buffalo, NY (August 2000).
• CEDAR Handwritten Address Interpretation (HWAI) technology is reported to save US PostalService about 200 million dollars a year (USPS Annual Report, 1998, "http://www.usps.gov/").
• Nominated for ACM Best Doctoral Dissertation Award, September 1992
• UB Presidential Fellowship, Fall 1986 - Spring 1988
• IIT Blue, awarded by the Indian Institute of Technology, Kharagpur for outstanding achievementin sports, 1986.
Professional Memberships and Activities
Institute of Electrical and Telecommunications Engineers (IETE) Fellow 2002 - presentInstitute of Electrical and Electronics Engineers (IEEE) Senior Member 1998 - presentAmerican Association of Artificial Intelligence (AAAI) Member 1995 - presentInternational Graphonomics Society (IGS) Board Member 1999 - presentAmerican Association of Computing Machinery (ACM) Member 1998 - present
Editorial & Leadership Positions
General Chair International Workshop on Document Analysis and Retrieval June 2003Program Co-Chair International Workshop on Handwriting Recognition September 2002Associate Editor IEEE Transactions on Pattern Analysis and Machine Intelligence 2001- presentExecutive Board International Graphonomics Society 2000- presentAssociate Editor IEEE Transactions on Systems, Man, and Cybernetics (B) 2000- presentAssociate Editor The Journal of Pattern Recognition 1997- presentTechnical Committee IEEE SMC for Pattern Recognition 1998- present
Panel Moderator of Special Sessions
Tools of Multilingual OCR MLOCR Workshop, Bangalore, India September 20, 1999Postal Address Interpretation International Conference on Document September 21, 1999
Analysis and Recognition, Bangalore, IndiaDocument Analysis DARPA Workshop on Document Image May 6-8, 1992
Understanding, Palo Alto, CA
Panelist of Special Sessions
E-Learning Technologies Birla Science Center August 8, 2001Hyderabad, India
Computer Processing of Indian Languages Indian Statistical Institute December 24, 1999Calcutta, India
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Session Chairs
Handwriting Recognition IEEE Conference on Pattern RecognitionAugust 12-16, 2002, Quebec City, Canada
Digit Segmentation IEEE Conference on Document Analysis and RecognitionSeptember 10-12, 2001, Seattle, USA
Information Retrieval & Word Spotting IEEE Conference on Document Analysis and RecognitionSeptember 10-12, 2001, Seattle, USA
Handwriting Segmentation IEEE Conference on Document Analysis and RecognitionSeptember 10-12, 2001, Seattle, USA
E-Learning Costs and Infrastructure E-Learning & E-Learning TechnologiesAugust 7-8, 2001, Hyderabad, India
Image Segmentation IEEE Systems, Man, and Cybernetics ConferenceOctober 12-15, 1999, Tokyo, Japan
Pattern Recognition IEEE Systems, Man, and Cybernetics ConferenceOctober 12-15, 1999, Tokyo, Japan
Character Recognition IEEE Systems, Man, and Cybernetics ConferenceOctober 11-14, 1998, San Diego, CA
Face Recognition IEEE Systems, Man, and Cybernetics ConferenceOctober 12-15, 1997, Orlando, FL
Gesture Understanding AAAI Symposium on Language and VisionNovember 10-12, 1995, Cambridge, MA
Document Analysis Symposium on Document Image UnderstandingOctober 24-25, 1995, Bowie, MD
Document Analysis DARPA Workshop on Document Image UnderstandingMay 6-8, 1992, Palo Alto, CA
Program Committee
• 11th International Graphonomics Society Conference, Scottsdale, AZ, November 2003.
• International Workshop on Frontiers of Handwriting Recognition, Tokyo, Japan, August 2004
• IEEE Systems, Man, and Cybernetics, Washington D.C., October 2003
• EACL Workshop on “Computational Linguistics for South Asian Languages– Expanding Syner-gies with Europe”, Budapest, Hungary, 2003.
• International Workshop on Frontiers of Handwriting Recognition, Niagara-on-the-Lake, Canada,August 2002
• IEEE Systems, Man, and Cybernetics, Hammamet, Tunisia, October 2002
• International Conference on Document Analysis and Recognition, Seattle, WA, October 2001
• IEEE Workshop on Computer Vision Applications, Palm Springs, CA, December 2000
• International Workshop on Frontiers of Handwriting Recognition, Amsterdam, The Netherlands,August 2000
• IEEE Systems, Man, and Cybernetics, Tokyo, Japan, October 1999
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• International Workshop on Frontiers of Handwriting Recognition, Buffalo, NY, May 1993
Reviewer
• IEEE International Conferences
– Systems, Man, and Cybernetics (SMC), Washington, D.C., 2003
– Computer Vision and Pattern Recognition (CVPR), Hawaii, 2001
– Document Analysis and Recognition (ICDAR), Seattle, WA, 2001
– Systems, Man, and Cybernetics (SMC), Tokyo, Japan, 1999
– Pattern Recognition (ICPR), Brisbane, Australia, 1998
– Document Analysis and Recognition (ICDAR), Montreal, Canada, 1995
• International Workshops
– IEEE Workshop on Computer Vision Applications, Palm Springs, CA, December 2000
– Frontiers in Handwriting Recognition (IWFHR) Buffalo, NY, 1993
• Journals
– ACM Computing Surveys
– IEEE Transactions on Image Processing
– IEEE Transactions on Pattern Analysis and Machine Intelligence
– IEEE Transactions on Fuzzy Systems
– International Journal on Imaging, Vision, and Computing
– International Journal of Document Analysis and Recognition
– Journal of Pattern Recognition
– Pattern Recognition Letters
– International Journal of Computer Vision
– International Journal of Pattern Recognition and Artificial Intelligence
• Books
– Computer Architecture & Organization, WCB/ McGraw-Hill
– Computer Architecture & Organization, Addison Wesley Longman
• Grant proposals
– Research Grant Council, Hong Kong, 2002
• Faculty Promotions
– University of Michigan, Dearborn, MI
– City University of New York, NY
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Presentations
Invited Talks
1/24/03 International Workshop on Technology Development in Indian Languages (IWTDIL)Indian Statistical Institute, Calcutta, India
10/13/02 Department of Computer Science, University of Massachusetts, AmherstTitle: From Anthrax to ZIP Codes- the Handwriting is on the Wall
7/8/02 International Institute of Information Technology, Hyderabad, IndiaTitle: Postal Automation
8/9/01 Institution of Electronics and Telecommunication Engineers, Hyderabad, IndiaTitle: Active Handwritten Character Recognition
4/24/01 Symposium for Document Image Understanding Technology (SDIUT), Annapolis, MDTitle: Large Scale Truthing
3/29/01 International Workshop on Technology Development in Indian Languages (IWTDIL)Indian Statistical Institute, Calcutta, IndiaTitle: Lexicon Modeling in Handwritten Phrase Recognition
10/9/00 IBM TJ Watson Research Center, Yorktown Heights, NYTitle: Issues in Classifier Combination
6/22/00 International Workshop on Multiple Classifier Systems, Cagliari, Italy.Title: Serial Combination of Word Recognizers
6/15/00 Xerox Palo Alto Research Center (PARC)Title: Issues in Classifier Combination
12/24/99 Indian Statistical Institute, Calcutta, IndiaTitle: Active Pattern Recognition
12/3/99 Xerox, Webster Research Center, Rochester, NYTitle: Adaptive OCR
11/23/99 Linguistic and Multimedia Laboratory, University of Maryland, College Park, MDTitle: Active Pattern Recognition
11/19/99 Department of Computer Science & Engineering, University at Buffalo, NYTitle: Active Pattern Recognition
6/28/99 Kent Research Digital Labs, SingaporeTitle: Non-Stationary Markov Models in ZIP Code Recognition
5/19/99 National Postal Forum, San Antonio, TX.Title: USPS is World Leader in Handwriting Recognition
3/27/97 Department of Electrical Engineering,Wayne State University, Detroit, MITitle: Paradigms in Recognition
12/16/94 Department of Electrical Engineering, University of Michigan, Dearborn, MITitle: Handwritten Text Recognition
2/15/94 2nd Census OCR Conference, National Institute of Standards, Bethesda, MDTitle: Handwritten Phrase Recognition
11/9/94 Digital Post Modernism, Nice, FranceTitle: Mail Sorting Applications
8/17/94 System House Limited, Ottawa, CanadaTitle: Remote Computer Reading
5/10/94 Digital Road Show, UK & FranceTitle: Mail Sorting Applications
10/16/92 Department of Computer Science, University at Buffalo, NYTitle: Face Location in Photographs
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Contributed Talks at Premier Conferences and Workshops
IAPR Conference on Advances in Pattern Recognition ICAPR - 2001IEEE Computer Vision and Pattern Recognition CVPR - 2000, 1999, 1998, 1996, 1989Int. Workshop on Multiple Classifier Systems MCS - 2000National Fuzzy Information Society Conferences NAFIPS- 2000, 1998IAPR Int. Workshop on Frontiers in Handwriting Recognition IWFHR - 1999, 1997, 1995, 1993, 1991IEEE Int. Conference on Document Analysis and Recognition ICDAR - 2001, 1999, 1995IEEE Conference on Image Processing ICIP - 1995IEEE Conference on Pattern Recognition ICPR - 1998, 1996, 1992National American Association of Artificial Intelligence AAAI - 1992IEEE Conference on Computer Vision ICCV - 1990
University Service
2002-03 Member of SUNY Cyber Security Task Committee2002-03 Member of Dean’s Research Advisory CouncilFebruary, 2002 Reviewer for internal grant proposals (IRCEF) on campus2000-02 Member of SEAS Faculty Promotions Committee2000-01 Mentor for undergraduate studentsMay 2001 Marshall for the commencement ceremonyFebruary 4, 2001 Member of UB delegation to Albany on UB dayApril 24, 2001 Conducted CEDAR tour for parents of prospective students
Departmental Service
2002-03 Chair of Faculty Recruitment Committee2002-03 Member of Distinguished Speaker Series Committee2002 Student Grievance Committee Member2001-02 Chair of Publications Committee2000-01 Chair of the Colloquium Committee2000-01 Member of Faculty Recruitment Committee1998-99 Chair of the Colloquium Committee1999-00 Participated in the re-design of CSE 241 and CSE 3411996-97 Member of Faculty Recruitment Committee
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Courses Taught
Semester Course Level Class size
Spring 2003 CSE 700 Biometrics Graduate 12Fall 2001 CSE 700 Digital Libraries Graduate 7Fall 2000 CSE 700 Pattern Recognition Applications Graduate 8Fall 2000 CSE 521 Operating Systems Graduate 75Spring 2000 CSE 521 Operating Systems Graduate 70Spring 1999 CSE 341 Computer Architecture & Organization Junior 90Fall 1998 CS 341 Computer Architecture & Organization Junior 70Spring 1998 CS 341 Computer Architecture & Organization Junior 70Fall 1997 CS 341 Computer Architecture & Organization Junior 105Spring 1997 CS 250 Algorithms and Data Structures Sophomore 38Fall 1996 CS 341 Computer Architecture & Organization Senior 75Spring 1996 CS 114 C++ and Data Structures Freshman 76Summer 1989 CS 472 Artificial Intelligence Senior 40
Research Supervision
Major Advisor of PhD Students Graduated
2002 A. Teredesai Dissertation: Use of Genetic Programming for Advanced PatternRecognition
2002 H. Xue Dissertation: Handwritten Word Recognition Using Structural Featuresand Stochastic Models
2000 I. Krassimir Dissertation: Organizing Multiple Experts for Efficient Pattern Recognition
Co-Advisor of PhD Students Graduated
2000 J. Park Dissertation: Hierarchical Character Recognition and its Use inHandwritten Phrase Recognition
1997 S. Madhvanath Dissertation: The Holistic Paradigm in Handwritten Word Recognitionand its Applications to Large and Dynamic Lexicon Scenarios
1996 G. Kim Dissertation: Handwritten Word Recognition for Real-time Applications
Major Advisor of PhD Students (Beyond Phd Qualifier Requirements)
2004 (expected) C. Wu Dissertation: Stochastic Models in Pattern Recognition2004 (expected) S. Tulyakov Dissertation: Probabilistic Models for Segmentation Based Word
Recognition with Lexicons2004 (expected) T. Jea Dissertation: Fingerprint Recognition2004 (expected) R. Milewski Dissertation: Interpretation of Handwritten Pre-Hospital Care Reports2004 (expected) V. Ramanaprasad Dissertation: Cognitive Models in Handwriting Recognition
Major Advisor of MS Students Graduated
2000 D. Bartnik Project: Video Surveillance2000 G. Pal Project: Music Index on the Web2000 F. Zhou Project: Comparing Thinning Algorithms
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Thesis Committee Member of MS Students Graduated
1997 S. Chebolu Thesis: Accurate Location of Human Faces in Photographs1996 B. Senaka Thesis: A Skew Correction Technique for Handwritten Word Recognition1996 G. Sheikoaslami Thesis: Computer-Aided Graphology
1995 R. Setlur Thesis: Generating Manifold Samples from Handwritten Words
Committee Member of PhD Students Graduated
2001 Q. Lu Dissertation: Model-based Active Object Recognition Using Foveal Vision2001 L. Zhu Dissertation: Keyblock: An Approach for Content Based Image Retrieval2001 H. Luo Dissertation: Knowledge Based Image Understanding and Classification
System for Medical Image Databases2001 M. Jung Dissertation: Font Classification and Character Segmentation in Postal
Address Interpretation1999 E. Milun Dissertation: Algorithms for Stylus Generated Images Inspired by the Human
Visual System1999 M. Venkatraman Dissertation: A Framework for Media-Streaming Over Packet-Switched
Networks1999 H. Moon Dissertation: Performance Evaluation Methodology for Face Recognition
Algorithms1999 H. Kwon Dissertation: Video Compression Using Vector Quantization for Multimedia
Applications1997 J. Park Dissertation: Address Block Location System Using Multi-resolution Based State
Space Search1998 U. Mahadevan Dissertation: Parsing Techniques for Handwritten Address Interpretation1998 J. Soh Dissertation: A Theory of Document Object Locator Combination1994 J. Zhou Dissertation: A Hierarchical Fusion Neural Network for Handwritten
Character Recognition
Grant Support
Federal Agency Sponsorship Grants (Over 21 million dollars)
National Institutes
Agency Project Amount Credit Period
National Science Foundation Cognitive Models for Recognition $100,000 PI 100%1 2002-03
National Science Foundation Devanagari Data and OCR Technology $487,319 PI 100%1 2002-04
National Institute of Justice Handwriting Analysis $428,328 Co-PI 33%4 1999-00
National Security Agency Handwritten Text Recognition $532,939 Co-PI 50%3 1994-96
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United States Postal Service Projects
Project Amount Co-PI Credit Period
Image Evaluation System- Flats $340,000 50%6 2002-03
Micropayment Processing $1,204,000 33%5 2001-03
Mailpiece Library $190,000 50%2 2002
Evaluation of Identification Codes $133,000 50%5 2001
Return Merchandise System $300,000 50%3 2001-02
Image Evaluation System Development $1,761,583 50%3 1999-03
Information Based Indicia $300,000 33%5 1999-01
Image Truthing $1,102,000 50%3 2000-02
Truthing for Recognition Improvement Plan $75,000 50%3 1999-00
Truthing and Analysis of Mailpiece Images $290,636 50%3 1999-00
New Image Evaluation System $395,257 50%3 1999-00
Implementation of Semi-automated Encoding $185,261 50%3 1999-00
Sender Information Processing $134,167 50%3 1999-00
Equipment Grant $46,200 50%3 1999-00
Travel Grant $34,103 50%3 1999-00
Gray Scale Image Processing Investigation $790,000 33%5 1998-00
Address Truthing Analysis $1,424,641 50%3 1998-00
Handwritten Address Interpretation Recognition Co-processor $650,000 50%3 1998
Handwritten Address Interpretation PC Integration Task $494,924 50%3 1997-98
Directory Compression $37,959 50%3 1997
Image Analysis $40,722 50%3 1997
Handwritten Recognition through Evolutionary Computing $57,410 50%3 1997
Handwritten Address Interpretation PC Porting $215,497 50%3 1997
Handwritten Address Interpretation PC Integration, Task 1 $255,076 50%3 1996-97
Handwritten Address Interpretation Integration Testing $99,750 50%3 1996-97
Improvements in Handwritten Address Interpretation $2,510,681 50%3 1993-96
Reply Card Processing - Phase III $1,388,534 50%3 1995-96
Reply Card Processing PIMS $1,435,416 50%3 1993-95
Interactive Service Research Support $1,299,519 50%3 1993-96
CEDAR Supplemental Activities $750,000 50%3 1991-95
Handwritten Address Interpretation Research $3,256,837 50%3 1991-94
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Industry Sponsored Projects (Over 12 million Dollars)
Lockheed Martin Distribution Systems (LMDS) Projects
Project Amount Co-PI Credit Period
United Kingdom Address Interpretation Project $1,245,000 50%3 2000-02
RCR/HWAI $660,000 50%3 2000-01
SDMM Directory Generation and Validation $44,235 50%3 2000-01
HWAI Control Strategy $129,190 50%3 1999-00
PROZE Character Recognition Improvements $128,395 50%3 1999-00
VRR Word Recognizer Improvements $42,590 50%3 1999-00
Last Line and Foreign Processing $101,417 50%3 1999-00
RCR/HWAI Improvements $503,480 50%3 1999-00
Address Interpretation Systems for UK Program $1,224,367 50%3 2000
UKAI Initial Tasks- Last Line Parsing and Resolution $152,442 50%3 1999-00
HWAI Australian Addresses, Release 4 $240,000 50%3 1999-00
HWAI Control Structures $79,200 50%3 1998-99
Database Enhancement $52,500 50%3 1998-99
New Parsing Technique $77,500 50%3 1998-99
New Word Recognition Technique $132,000 50%3 1998-99
New Chracter Recognition $88,000 50%3 1998-99
RCR/HWAI Improvements $400,000 50%3 1998-99
Firmname Recognition $70,738 50%3 1998-99
HWAI of Australian Addresses, Release 3 $218,333 50%3 1999
Last Line, Foreign processing $100,412 50%3 1999
Image Processing Functions $69,156 50%3 1999
Control Strategy $101,468 50%3 1999
Word Recognizer $46,541 50%3 1999
New Chracter Recognition $45,019 50%3 1999
HWAI of Australian Addresses, PIP -1 Release $230,000 50%3 1999
HWAI of Australian Addresses, PIP $89,959 50%3 1999
RCR/ HWAI Improvements $568,538 50%3 1998-99
Port HWAI to NT $28,586 50%3 1998-99
HWAI of Australian Addresses $1,144,418 50%3 1997-98
RCR/ HWAI Integration $1,500,000 50%3 1997-98
HWAI/RCR Research $550,860 50%3 1997
HWAI/RCR $407,686 50%3 1997
HWAI/RCR Research $585,924 50%3 1996-97
HWAI/RCR Integration $596,474 50%3 1996-97
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Other Industry Projects
Project Amount Credit Period
Fingerprint Recognition (AFIS) $750,000 PI 100%1 2002-03Ultra-Scan Corporation, Amherst, NY
HWAI Plus $317,000 PI 70%2 2002Siemens Corporation, Konstanz, Germany
AAPS Parcel Address Recognition $90,000 PI 70%2 2002Siemens Corporation, Konstanz, Germany
Student Support Fellowship $15,000 PI 100%1 2001-02International Business Machines (IBM)
Canadian Postcode Interpretation $50,000 PI 70%2 2000-01Siemens Corporation, Konstanz, Germany
HWAI Integration $300,000 PI 70%2 2000-01Siemens Corporation, Konstanz, Germany
Canadian Postcode Recognition $10,000 PI 70%2 1994Systems House Limited, Canada
Recognition of Handprinted Forms $10,000 PI 100%1 1994Readers Digest
Document Analysis and Recognition $70,000 PI 100%2 1993-00Xerox Corporation
Research Grant Proposals Submitted
Agency & Title Amount Period Credit
Early Detection of Disease Outbreaks $1,250,000 09/03-08/05 PINational Science Foundation
ITR: Viewing Historical Documents $499,000 09/02-08/05 PINational Science Foundation
PI Credit Legend
Credit Legend Principal Investigator (PI) Co-Principal Investigators (Co-PIs)
100% 1 Venu Govindaraju50% 2 Venu Govindaraju Sargur N. Srihari50% 3 Sargur N. Srihari Venu Govindaraju33% 4 Sargur N. Srihari Venu Govindaraju and Yong Chul Shin33% 5 Sargur N. Srihari Venu Govindaraju and Ajay Shekhawat33% 6 Venu Govindaraju Sargur N. Srihari and Srirangaraj Setlur
Publications
Venu Govindaraju’s students are marked with an asterisk *.The total number of number of citations excluding self-references is 194 according tohttp://citeseer.nj.nex.com/.
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Journal Papers (peer reviewed)
§1 H. Xue* and V. Govindaraju, “On the Dependence of Handwritten Word Recognizers on Lexi-cons”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer SocietyPress, Vol. 24, No. 12, pp. 1553-1564, 2002.
§2 V. Govindaraju, P. Slavik, and H. Xue*, “Lexicon Density as a Measure for Performance Evalu-ation of Handwritten Recognizers”, IEEE Transactions on Pattern Analysis and Machine Intel-
ligence, IEEE Computer Society Press, Vol. 24, No. 6, pp. 789-800, 2002.
§3 S. Setlur, V. Govindaraju, A. Lawson, and S. Srihari, “Large Scale Address Recognition Systems-Truthing and Tools”, International Journal of Document Analysis and Recognition, Springer-Verlag, Vol. 4, No. 3, pp. 154-169, 2002.
§4 J. Park* and V. Govindaraju, “Use of Adaptive Segmentation in Phrase Recognition”, TheJournal of Pattern Recognition, Pergamon Publishers, Vol. 35, No. 1, pp. 245-252, 2002.
§5 Y. Wu*, K. Ianakiev*, and V. Govindaraju, “Improvements to K-NN Classification”, The Journalof Pattern Recognition, Pergamon Press, 2002.
§6 R. Kasturi, L. O. Gorman, and V. Govindaraju, “Document Image Analysis: A Primer”, Saad-hana, Vol. 27, No. 1, pp. 3-22, 2002. Invited Paper.
§7 P. Slavik and V. Govindaraju, “Equivalence of Methods for Slant and Skew Correction in WordRecognition Applications”, IEEE Transactions on Pattern Analysis and Machine Intelligence,IEEE Computer Society Press, Vol. 23, No. 3, pp. 323-325, 2001.
§8 S. Madhvanath* and V. Govindaraju, “The Role of Holistic Paradigms in Handwritten WordRecognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE ComputerSociety Press, Vol. 23, No. 2, pp. 149-164, 2001.
§9 S. Madhvanath*, K. Sunder, and V. Govindaraju, “Syntactic Methodology of Pruning LargeLexicons in Cursive Script Recognition”, Journal of Pattern Recognition, Pergamon Publishers,Vol. 34, No. 1, pp. 37-46, 2001.
§10 V. Govindaraju and K. Ianakiev*, “Improving Classifier Accuracy by Fuzzy Boundaries andTopology of Error-prone Sets”, IEEE Transactions on Fuzzy Systems, IEEE Neural NetworksCouncil, Vol. 8, No. 6, pp. 679-690, 2000.
§11 X. Wang, V. Govindaraju, and S. Srihari, “Holistic Digit Pair Recognition”, Journal of PatternRecognition, Pergamon Publishers, Vol. 33, No. 12, pp 1967-1974, 2000.
§12 J. Park*, V. Govindaraju, and S. Srihari, “OCR in a Hierarchical Feature Space”, IEEE Trans-
actions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, Vol. 22,No. 4, pp. 400-406, 2000.
§13 S. Madhvanath*, E. Kleinberg, and V. Govindaraju, “Holistic Verification of Handwritten Phrases,IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press,Vol. 21, No. 12, pp. 1344-1356, 1999.
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§14 S. Madhvanath*, G. Kim*, and V. Govindaraju, “Chain Code Processing for Handwritten WordRecognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE ComputerSociety Press, Vol. 21, No. 9, pp. 928-932, 1999.
§15 D. Bouchaffra, V. Govindaraju, and S. Srihari, “Recognition of Strings Using Non-StationaryMarkovian Models: An Application in ZIP Code Recognition”, IEEE Transactions on Pattern
Analysis and Machine Intelligence, IEEE Computer Society Press, Vol. 21, No. 10, pp. 990-999,1999.
§16 D. Bouchaffra, V. Govindaraju, and S. Srihari, “A Methodology for Mapping Scores to Probabili-ties”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer SocietyPress, Vol. 21, No. 9, pp. 923-927, 1999.
§17 S. Madhvanath* and V. Govindaraju, “Reference Lines for Holistic Recognition of HandwrittenWords”, Journal of Pattern Recognition, Pergamon Press, Vol. 32, No.12, pp. 2021-2028, 1999.
§18 G. Kim*, V. Govindaraju, and S. Srihari, “Architecture for Handwritten Text Recognition Sys-tems” International Journal of Document Analysis and Recognition, Springer Verlag, Vol. 2, No.1, pp. 37-44, 1999.
§19 G. Kim* and V. Govindaraju, “Handwritten Phrase Recognition as Applied to Street NameImages”, Journal of Pattern Recognition, Pergamon Press, Vol. 31, No. 1, pp. 41-51, 1998.
§20 Z. Shi and V. Govindaraju, “Segmentation and Recognition of Connected Handwritten NumeralStrings” Journal of Pattern Recognition, Pergamon Press, Vol. 30, No. 9, pp. 1501-1504, 1997.
§21 G. Kim* and V. Govindaraju, “A Lexicon Driven Approach to Handwritten Word Recognitionfor Real-time Applications”, IEEE Transactions on Pattern Analysis and Machine Intelligence,IEEE Computer Society Press, Vol. 19, No. 4, pp. 366-379, 1997.
§22 G. Kim* and V. Govindaraju, “Bank Check Recognition Using Cross Validation Between Legaland Courtesy Amounts” International Journal on Pattern Recognition and Artificial Intelligence,World Scientific Publishing Company, Vol. 11, No. 4, pp. 657-674, 1997.
§23 S. Madhvanath*, E. Kleinberg, and V. Govindaraju, “Empirical Design of a Multi-classifierThresholding /Control Strategy for Recognition of Handwritten Street Names”, InternationalJournal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing Company,Vol. 11, No. 6, pp. 933-946, 1997.
§24 V. Govindaraju, “Locating Human Faces in Photographs”, The International Journal of Com-
puter Vision, Kluwer Academic Publishers, Vol. 19, No. 2, pp. 129-146, 1996.
§25 Z. Shi and V. Govindaraju, “Character Image Enhancement Using Selective Region Growing”,Pattern Recognition Letters, Elsevier Science Publishers, Vol. 17, pp. 523-527, 1996.
§26 V. Govindaraju and R. Krishnamurthy, “Holistic Handwritten Word Recognition Using TemporalFeatures Derived From Off-line Images”, Pattern Recognition Letters, Elsevier Science Publishers,Vol. 17, pp. 537-540, 1996.
§27 S. Madhvanath*, V. Govindaraju, and S. N. Srihari, “Recognition of Handwritten US CensusForms”, International Journal of Imaging Systems & Technology, John Wiley & Sons, Inc., Vol.7, pp. 312-319, 1996.
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§28 S. Setlur and V. Govindaraju, “Generating Manifold Samples from Handwritten Words”, PatternRecognition Letters, Elsevier Science Publishers, Vol. 15, pp. 901-905, 1995.
§29 S. Srihari and V. Govindaraju, “Textual Image Analysis Using the Hough Transform”, Interna-tional Journal of Machine Vision and Applications, Kluwer Academic Publishers, Vol. 2, No. 3,pp. 141-153, 1989.
Book Chapter Papers
§32 K. Ianakiev* and V. Govindaraju, “Deriving Pseudo-Probabilities of Correctness Given Scores”,Pattern Recognition and String Matching, D. Chen & X. Cheng, (editors), Kluwer Publishers,2002 (accepted).
§33 A. Teredesai*, J. Park*, and V. Govindaraju, “Active Handwritten Character Recognition UsingGenetic Programming”, Lecture Notes in Computer Science, J. Miller et al. (editors), Springer,pp. 371-379, 2001.
§34 Y. Wu*, K. Ianakiev*, and V. Govindaraju, “Confidence Combination Methods in MultipleExpert Systems”, Advances in Pattern Recognition, Lecture Notes in Computer Science, F. J.Ferri, J. M. Inesta, A. Amin, and P. Pudil (editors), Springer, pp. 641-649, 2000.
§35 Y. Wu*, K. Ianakiev*, and V. Govindaraju, “K-NN Classification Improvements”, Advancesin Pattern Recognition, Lecture Notes in Computer Science, S. Singh, N. Mursheed, and W.Kropatsch (editors), Springer, pp. 222-229, 2001.
§36 K. Ianakiev and V. Govindaraju, “Architecture for Classifier Combination Using Entropy Mea-sures”, Lecture Notes in Computer Science, 1857, J. Kittler and F. Roli (editors), Springer, pp.340-350, 2000.
§37 P. Slavik and V. Govindaraju, “Use of Lexicon Density in Evaluating Word Recognizers”, LectureNotes in Computer Science, 1857, J. Kittler and F. Roli (editors), Springer, pp. 310-319, 2000.
§38 X. Wang, V. Govindaraju, and S. Srihari, “Holistic Recognition of Touching Digit Pairs”, Fron-tiers in Handwriting Recognition, Series in Machine Perception and Artificial Intelligence, S.W.Lee (editor), World Scientific Publishing Company, Vol. 34, pp. 359-367, 1999.
§39 G. Kim*, V. Govindaraju, and S. Srihari, “Architecture for Handwritten Text Recognition Sys-tems”, Frontiers in Handwriting Recognition, Series in Machine Perception and Artificial Intel-
ligence, S.W. Lee (editor), World Scientific Publishing Company, Vol. 34, pp. 359-367, 1999.
§40 J. Favata, S. Srihari, and V. Govindaraju, “Off-line Handwritten Sentence Recognition”, Progressin Handwriting Recognition, A. Downton, and S. Impedovo (editors), World Scientific PublishingCompany, pp. 393-398, 1997.
§41 G. Sheikoaslami*, S. Srihari, and V. Govindaraju, “Computer Aided Graphology”, Progress inHandwriting Recognition, A. Downton, and S. Impedovo (editors), World Scientific PublishingCompany, pp. 503-510, 1997.
§42 G. Kim*, V. Govindaraju, and S. Srihari, “Extension of Handwritten Word Recognition Methodto Street Name Images”, Progress in Handwriting Recognition, A. Downton, and S. Impedovo(editors), World Scientific Publishing Company, pp. 533-540, 1997.
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§43 Z. Shi and V. Govindaraju, “Segmentation and Recognition of Connected Handwritten NumeralStrings”, Progress in Handwriting Recognition, A. Downton, and S. Impedovo (editors), WorldScientific Publishing Company, pp. 515-518, 1997.
§44 G. Kim* and V. Govindaraju, “Bank Check Recognition Using Cross Validation Between Legaland Courtesy Amounts”, Automatic Bank Check Processing, S. Impedovo, P.S.P. Wang, and H.Bunke (editors), Series in Machine Perception Artificial Intelligence, World Scientific PublishingCompany, Vol. 28, pp. 195-212, 1997.
§45 D. Niyogi, S. Srihari, and V. Govindaraju, “Analysis of Printed Forms”, Handbook on OpticalCharacter Recognition and Document Image Analysis, P.S.P. Wang & H. Bunke (editors), WorldScientific Publishing Company, pp. 485-502, 1996.
§46 V. Govindaraju, R. Srihari, and S. Srihari, “Handwritten Text Recognition”, Document AnalysisSystems, A.L. Spitz & A. Dengel (editors), World Scientific Publishing Company, pp. 288-306,1995.
§47 V. Govindaraju and S. Srihari, “Separating Handwritten Text from Non-Textual Interference”,From Pixels to Features: II, J. Simon & S. Impedovo (editors), Elsevier Science Publishers,North-Holland, pp. 17-28, 1992.
§48 J. Hull, T. Ho, V. Govindaraju, J. Favata, and S. Srihari , “Combination of Segmentation Basedand Holistic Handwritten Word Recognition Algorithms”, From Pixels to Features: II, J. Simon& S. Impedovo (editors), Elsevier Science Publishers, North-Holland, pp. 261-272, 1992.
§49 S. Srihari and V. Govindaraju, “Pattern Recognition: A Survey”, Encyclopedia of ComputerScience, A. Ralston (editor), Van Nostrand Reinhold, New York NY, pp. 1034-1041, 1991.
§50 V. Govindaraju, S. Lam, D. Niyogi, D. Sher, R. Srihari, and S. Srihari, “Newspaper ImageUnderstanding”, Lecture Notes in Artificial Intelligence, J. Siekmann (editor), Springer Verlag,Vol. 444, pp. 375-386, 1991.
Conference Papers (peer reviewed)
Acceptance rates provided where available.
§51 V. Govindaraju, Z. Shi, and J. Schneider, “Feature Extraction Using Chaincoded Contours ofFingerprint Images”, International Conference on Audio and Video Based Biometric Person
Authentication, Surrey, UK, 2003.
§52 J. Schneider, L. Pratt, and V. Govindaraju, “On the Correlation of Image Size to System Accu-racy in Fingerprint Identification Systems”, International Conference on Audio and Video Based
Biometric Person Authentication, Surrey, UK, 2003.
§53 Z. Shi and V. Govindaraju, “Skew Detection for Complex Document Images Using Fuzzy Run-lengths”, IEEE International Conference on Document Analysis and Recognition, Edinburgh,UK, 2003.
§54 S. Tulyakov and V. Govindaraju, “Postal Address Block Location by Contour Clustering”, IEEEInternational Conference on Document Analysis and Recognition, Edinburgh, UK, 2003.
15
§55 S. Khedekar*, V. Ramanaprasad*, S. Setlur, and V. Govindaraju, “Text Image Separation in De-vanagari Document Images”, IEEE International Conference on Document Analysis and Recog-
nition, Edinburgh, UK, 2003.
§56 S. Setlur*, V. Ramanaprasad*, S. Kompalli*, and V. Govindaraju, “A Multi-lingual TruthingPlatform for South Asian Languages”, IEEE International Conference on Data Engineering -
Multilingual Information Management, Hyderabad, India, 2003.
§57 A. Teredesai* and V. Govindaraju. “On-Line Digit Recognition Using Off-Line Features”, IndianConference on Computer Vision, Graphics, and Image Processing, Ahmedabad, India, December2002. Invited paper.
§58 A. Teredesai* and V. Govindaraju. “Recurrent Genetic Programming”, IEEE International Con-
ference on Systems, Man, and Cybernetics, IEEE Computer Society Press, Hammamet, Tunisia,October 2002. Invited paper.
§59 H. Xue* and V. Govindaraju, “On the Dependence of Handwritten Word Recognizers on Lexi-cons” International Conference on Pattern Recognition, Quebec City, Canada. 2002, accepted.
§60 H. Xue* and V. Govindaraju, “Building Skeletal Graphs for Structural Feature Extraction onHandwriting Images”, Sixth IAPR International Conference on Document Analysis and Recog-
nition, pp. 96-105, Seattle, WA, 2001. Oral paper presentation acceptance rate = 143
297= 48%.
§61 S. Tulyakov* and V. Govindaraju, “Probabilistic Models for Segmentation Based Word Recogniz-ers with a Lexicon”, Sixth IAPR International Conference on Document Analysis and Recognition,pp. 164-167, Seattle, WA, 2001. Oral paper presentation acceptance rate = 143
297= 48%.
§62 A. Teredesai* V. Govindaraju, “Active Digit Classifiers: A Separability Optimization Approachto Emulate Cognition”, Sixth IAPR International Conference on Document Analysis and Recog-
nition pp. 401-405, Seattle, WA, 2001. Oral paper presentation acceptance rate = 143
297= 48%.
§63 S. Setlur, A. Lawson, V. Govindaraju, and S. Srihari, “A Truthing and Evaluation System forMeasuring Address Recognition Performance”, Sixth IAPR International Conference on Docu-
ment Analysis and Recognition, pp. 1205-1214, Seattle, WA, 2001. Oral paper presentationacceptance rate = 143
297= 48%.
§64 A. Teredesai*, J. Park*, and V. Govindaraju, “Active Handwritten Character Recognition UsingGenetic Programming”, Proceedings of the 4th European Conference, EuroGP, pp. 371-379, LakeComo, Italy, 2001. Published as book chapter (§29).
§65 W. Yang, V. Govindaraju, and S. Srihari, “Discovering Redundant Address Components forAutomatic Address Interpretation”, International Conference on Artificial Intelligence, pp. 308-312, Las Vegas, NV, June 2001.
§66 Y. Wu*, K. Ianakiev* and V. Govindaraju., “Improving K-NN Classification”, InternationalInternational Conference on Advances in Pattern Recognition, pp. 222-229, Rio De Janerio,Brazil, March 2001. Invited paper. Published as book chapter (§25).
§67 S. Madhvanath* and V.Govindaraju, “Score Aggregation from Multiple Sources and Trainingin the Context of Lexicon Reduction Using Holistic Features. Indian Conference on Computer
Vision, Graphics, and Image Processing, Allied Publishers Limited, Bangalore, India, pp. 180-187, December 2000.
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§68 J. Park* and V. Govindaraju, “Active Character Recognition Using A*-like Algorithm”, IEEEInternational Conference on Computer Vision and Pattern Recognition, IEEE Computer SocietyPress, Hilton Head, S.C., pp. 82-87, June 2000. Oral paper presentation acceptance rate = 66
466
= 14%.
§69 J. Park* and V. Govindaraju, “Using Lexical Entropy in Word Recognition”, IEEE International
Conference on Computer Vision and Pattern Recognition, IEEE Computer Society Press, pp.290-295, Hilton Head, S.C., June 2000. Poster paper acceptance rate = 154
400= 39%.
§70 D. Bouchaffra, V. Govindaraju, and S. Srihari, “Recognition of Strings Using Non-StationaryMarkovian Models: An Application in ZIP Code Recognition”, IEEE Conference on Computer
Vision and Pattern Recognition, IEEE Computer Society Press, Fort Collins, pp. 174-179, June1999.
§71 V. Govindaraju, S. Srihari, and Y.C. Shin, “Use of Handwriting Recognition Features in Hand-writing Identification”, International Graphonomics Society Conference, Singapore, pp. 73-78,1999.
§72 K. Ianakiev* and V. Govindaraju, “Fuzzy Control Structures in Multiple Parameter Systems:An Application in a Handwritten Address Interpretation System”, North American Fuzzy In-
formation Processing Systems Conferences, IEEE Computer Society Press, Manhattan, NY, pp.918-922, 1999.
§73 X. Wang, V. Govindaraju, and S. Srihari, “Multi-experts for Touching Digit String Recogni-tion”, IAPR Conference on Document Analysis and Recognition, IEEE Computer Society Press,Bangalore, India, pp. 800-803, 1999.
§74 J. Park*, V. Govindaraju, and S. Srihari, “Word Segmentation and Phrase Recognition”, IAPRConference on Document Analysis and Recognition, IEEE Computer Society Press, Bangalore,India, pp. 605-608, 1999.
§75 S. Srihari, W. Yang, and V. Govindaraju, “Information Theoretic Analysis of Postal AddressFields for Automatic Address Interpretation”, IAPR Conference on Document Analysis and
Recognition, IEEE Computer Society Press, Bangalore, India, pp. 309-312, 1999.
§76 S. Srihari, W. Yang, and V. Govindaraju, “Address Interpretation”, International Conference onMail Technology in Tomorrow’s World, Stakis Brighton Metropole, Brighton, UK, June 1999.
§77 D. Bouchaffra, V. Govindaraju, and S. Srihari, “A Methodology for Deriving Probabilistic Cor-rectness Measures from Recognizers”, IEEE Conference on Computer Vision and Pattern Recog-
nition, IEEE Computer Society Press, pp. 930-935, Santa Barbara, CA, June 1998. Oral paperpresentation acceptance rate = 42
453= 9%.
§78 D. Bartnik*, V. Govindaraju, S. Srihari, and B. Phan, “Reply Card Mail Processing”, Interna-tional Conference on Pattern Recognition, IEEE Computer Society Press, pp. 633-636, Brisbane,Australia, 1998. Oral paper presentation acceptance rate = 295
786= 38%.
§79 J. Park*, V. Govindaraju, and S. Srihari, “OCR in Hierarchical and Multi-resolution FeatureSpace”, IEEE International Conference on Systems, Man, and Cybernetics, IEEE ComputerSociety Press, pp. (4)324-(4)329, San Diego, October 1998. Invited paper.
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§80 V. Govindaraju, K. Ianakiev*, and S. Srihari, “Improving Classifier Accuracy by Simulating FuzzyBoundaries Between Classes”, North American Fuzzy Logic and Image Processing Conference, pp.161-164, Pensacola, FL, August 1998. Invited paper.
§81 S. Srihari, W. Yang, V. Govindaraju, X. Wang, and X. Song, “Information Content in UnitedStates Postal Address Fields”, International Conference on Combinatorics, Statistics, Pattern
Recognition, and Related Areas, pp. 71-72, Mysore, India, 1998.
§82 V. Govindaraju and M. Rajapakse*, “Precise Location of Human Faces in Cluttered Photographs”,IEEE International Conference on Systems, Man and Cybernetics, IEEE Computer Society Press,Orlando, FL, pp. (2)028-(2)033, October 1997. Invited paper.
§83 V. Govindaraju and S. Srihari, “Paradigms in Handwriting Recognition”, IEEE International
Conference on Systems, Man and Cybernetics, IEEE Computer Society Press, pp. 1498-1503,Orlando, FL, October 1997. Invited paper.
§84 S. Madhvanath*, E. Kleinberg, and V. Govindaraju, “The HOVER System for Rapid HolisticVerification of Off-line Handwritten Phrases”, International Conference of Document Analysis
and Recognition, IEEE Computer Society Press, Ulm, Germany, pp. 855-859, October 1997.Oral paper acceptance rate = 295
786= 38%.
§85 S. Madhvanath* and V. Govindaraju, “Contour-based Image Preprocessing for Holistic Handwrit-ten Word Recognition, International Conference of Document Analysis and Recognition, IEEEComputer Society Press, Ulm, Germany, pp. 536-539, October 1997. Oral paper acceptancerate = 295
786= 38%.
§86 G. Kim*, V. Govindaraju and S. N. Srihari, “A Segmentation and Recognition Approach ofHandwritten Phrases as Applied to Street Name Images”, IEEE Conference on Pattern Recogni-
tion, IEEE Computer Society Press, pp. D-510-513, Vienna, Austria, August 1996. Oral paperacceptance rate = 252
100=25%.
§87 G. Kim* and V. Govindaraju, “Recognition of Handwritten Phrases as Applied to Street NameImages”, IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer So-ciety Press, pp. 459-464, San Fransisco, CA, June 1996. Oral paper acceptance rate = 73
551
=13%.
§88 G. Kim*, V. Govindaraju, and S. Srihari, “HandwrittenWord Recognition Using Dynamic Match-ing with Variable Duration”, IEEE Conference on Acoustics, Speech, and Signal Processing, IEEESignal Processing Society Press, pp. (3)454-(3)457, Atlanta, GA, May 1996.
§89 M. Venkatraman* and V. Govindaraju, “Zero Crossings of a Non-orthogonal Wavelet Transformfor Object Recognition”, IEEE Conference on Image Processing, IEEE Signal Processing SocietyPress, Washington D.C., Vol. 3, pp. 57-60, August 1995.
§90 V. Govindaraju and S. Srihari, “Image Quality and Human Readability”, IEEE Conference on
Image Processing, IEEE Signal Processing Society Press, Washington D.C., Vol. 3, pp. 324-327,August 1995. Invited paper.
§91 G. Kim* and V. Govindaraju, “Handwritten Word Recognition for Real-time Applications”,International Conference on Document Analysis and Recognition, IEEE Computer Society Press,Montreal, Canada, pp. 24-27, August 1995. Oral paper acceptance rate = 295
786= 38%.
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§92 S. Madhvanath*, V. Govindaraju, and S. Srihari, “Reading Handwritten US Census Forms”,International Conference on Document Analysis and Recognition, IEEE Computer Society Press,Montreal, Canada, pp. 82-85, August 1995. Oral paper acceptance rate = 295
786= 38%.
§93 S. Madhvanath* and V. Govindaraju, “Lexicon Reduction for Handwritten Word Reduction”,International Conference on Document Analysis and Recognition, IEEE Computer Society Press,Montreal, Canada, pp. 911-914, August 1995. Oral paper acceptance rate = 295
786= 38%.
§94 V. Govindaraju and S. Srihari, “System for Reading Handwritten Documents”, IEEE Interna-
tional Conference on Systems, Man, and Cybernetics, IEEE Computer Society Press, Vancouver,BC, October pp. 347-352, 1995. Invited paper.
§95 S. Lam, V. Govindaraju, R. Srihari, J. Hull, and S. Srihari, “Intelligent Data Retrieval FromRaster Images of Documents”, The First Annual Conference on the Theory and Practice of
Digital Libraries, pp. 34-40, College Station, Texas, June 1994.
§96 V. Govindaraju, A. Shekhawat, and S. Srihari, “Interpretation of Handwritten Addresses in USMail Stream”, International Conference on Document Analysis and Recognition, IEEE ComputerSociety Press, pp. 291-294, Tsukuba Science City, Japan, October 1993. Oral paper acceptancerate = 295
786= 38%.
§97 V. Govindaraju, A. Shekhawat, and S. Srihari, “Interpretation of Handwritten Addresses in USMail Stream”, First European Conference Dedicated to Postal Technologies, pp. 421-428, Nantes,France, June 1993.
§98 V. Govindaraju, E. Cohen, A. Shekhawat, and S. Srihari, “Determining the Delivery Point Codeon Handwritten Addresses”, Fifth Advanced Technology USPS Conference, pp. 321-336, Wash-ington D.C., 1992.
§99 V. Govindaraju, D. Wang, and S. Srihari, “Holistic Approach to Handwritten Word RecognitionUsing Temporal Information Extracted from Static Images”, Fifth Advanced Technology USPS
Conference, pp. 529-546, Washington D.C., 1992.
§100 S. Madhavanath*, V. Govindaraju, and S. Srihari, “Using n-gram Features in Handwritten WordRecognition”, Fifth Advanced Technology USPS Conference, pp. 183-198, Washington D.C.,1992.
§101 V. Govindaraju, D. Sher, and S. Srihari, “A Computational Model for Face Location Basedon Cognitive Principles”, Tenth National Conference of the American Association of Artificial
Intelligence, AAAI Press / The MIT Press, pp. 350-355. San Jose, CA, 1992. Oral paperacceptance rate = 133
636= 21%.
§102 V. Govindaraju, D. Sher, and S. Srihari, “Caption-aided Face Location in Newspaper Pho-tographs”, IAPR International Conference on Pattern Recognition, IEEE Computer SocietyPress, The Hague, Netherlands, pp. 474-477, 1992. Oral paper acceptance rate = 295
786= 38%.
§103 V. Govindaraju, S. Lam, D. Niyogi, D. Sher, R. Srihari, and S. Srihari, “Newspaper Image Un-derstanding”, International Conference on Knowledge Based Systems, Narosa Publishing House,pp. 375-386, Bombay, India, 1991.
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§104 V. Govindaraju, D. Sher, and S. Srihari, “A Computational Model for Face Location”, ThirdInternational Conference on Computer Vision, IEEE Computer Society Press, pp. 718-721,Osaka, Japan, December 1990.
§105 V. Govindaraju, R. Srihari, D. Sher, and S. Srihari, “Locating Human Faces in NewspaperPhotographs”, IEEE Conference on Computer Vision and Pattern Recognition, IEEE ComputerSociety Press, pp. 278-281, San Diego, CA, June 1989. Oral paper acceptance rate = 95
300=
32%.
Workshop Papers (Full paper refereed)
Paper ranking provided where available.Updated versions of some papers presented at the workshops were also published as book chapters asindicated.
§106 H. Xue* and V. Govindaraju, “A Stochastic Model Combining Discrete Symbols and Continu-ous Attributes and Its Application to Handwriting Recognition” IAPR Workshop on Document
Analysis Systems, Princeton, NJ, pp. 70-81, cd cd PAMI ls 2002.
§107 H. Xue* and V. Govindaraju, “Incorporating Contextual Character Geometry in Word Recog-nition”, Eighth International Workshop on Handwriting Recognition, IEEE Computer SocietyPress, Niagara-on-the-Lake, Canada, pp. 123-127, August 2002.
§108 G. Leedham, S. Varma*, A. Patankar*, and V. Govindaraju, “Separating Text and Background inDegraded Document Images- A Comparison of Global Thresholding Techniques for Multi-StageThresholding”, Eighth International Workshop on Handwriting Recognition, IEEE Computer So-ciety Press, Niagara-on-the-Lake, Canada, pp. 244-249, August 2002.
§109 R. Milewski* and V. Govindaraju, “Medical Word Recognition Using a Computational SemanticLexicon”, Eighth International Workshop on Handwriting Recognition, IEEE Computer SocietyPress, Niagara-on-the-Lake, Canada, pp. 401-406, August 2002.
§110 C. Tomai*, B. Zhang*, and V. Govindaraju, “Transcript Mapping for Historic Handwritten Doc-uments”, Eighth International Workshop on Handwriting Recognition, IEEE Computer SocietyPress, Niagara-on-the-Lake, Canada, pp. 413-418, August 2002.
§111 Y. Wu*, K. Ianakiev*, and V. Govindaraju, “Confidence Combination Methods in MultipleExpert Systems”, IAPR International Workshop on Structural and Syntactic Pattern Recognition,Alicante, Spain, August 2000. Updated version published as a book chapter (§30).
§112 K. Ianakiev* and V. Govindaraju, “Improvement of Recognition Accuracy Using 2-stage Classifi-cation”, Seventh International Workshop on Handwriting Recognition, Amsterdam, The Nether-lands, pp. 153-165, August 2000. Ranked 7 out of 78 papers submitted.
§113 J.Park* and V. Govindaraju, “Active Word Recognition”, Seventh International Workshop on
Handwriting Recognition, Amsterdam, The Netherlands, pp. 403-412, August 2000. Ranked 19out of 78 papers submitted.
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§114 H. Xue* and V. Govindaraju, “Character Recognition by Matching Sequences of Pseudo-strokePositions and Directions”, Seventh International Workshop on Handwriting Recognition, Ams-terdam, The Netherlands, pp. 589-594, August 2000. Ranked 3 out of 33 papers accepted asposter.
§115 K. Ianakiev and V. Govindaraju, “Architecture for Classifier Combination Using Entropy Mea-sures”, IAPR International Workshop on Multiple Classifier Systems, Cagliari, Italy, June 2000.Updated version published as book chapter (§31).
§116 P. Slavik and V. Govindaraju, “Use of Lexicon Density in Evaluating Word Recognizers”, IAPRInternational Workshop on Multiple Classifier Systems, Cagliari, Italy, June 2000. Updatedversion published as book chapter (§32).
§117 S. Madhvanath and V. Govindaraju, “Perceptual Features for Off-line HandwrittenWord Recognition-A Framework for Heuristic Prediction, Matching and Representation”, IAPR Workshop on Syn-
tactic and Statistical Pattern Recognition, Sydney, Australia, August 1998.
§118 G. Kim*, V. Govindaraju, and S. Srihari, “Architecture for Handwritten Text Recognition Sys-tems”, Sixth International Workshop on Handwriting Recognition, pp. 113-122, Taejon, S. Korea,August 1998.
§119 X. Wang, V. Govindaraju, and S. Srihari, “Holistic Recognition of Touching Digit Pairs”, SixthInternational Workshop on Handwriting Recognition, pp. 295-303, Taejon, S. Korea, August1998.
§120 J. Favata, V. Govindaraju, and S. Srihari, “Off-line Handwritten Sentence Recognition” Fifth In-ternational Workshop on Frontiers in Handwriting Recognition, pp. 171-176, Essex, UK, Septem-ber 1996. Updated version published as book chapter (§35).
§121 S. Gholam*, V. Govindaraju, and S. Srihari, “Computer Aided Graphology”, Fifth InternationalWorkshop on Frontiers in Handwriting Recognition, pp. 457-460, Essex, UK, September 1996.Updated version published as book chapter (§36).
§122 G. Kim*, V. Govindaraju, and S. Srihari, “Extension of Handwritten Word Recognition to StreetName Recognition”, Fifth International Workshop on Frontiers in Handwriting Recognition, pp.221-226, Essex, UK, September 1996. Updated version published as book chapter (§37).
§123 Z. Shi and V. Govindaraju, “Segmentation and Recognition of Connected Handwritten NumeralStrings”, Fifth International Workshop on Frontiers in Handwriting Recognition, pp. 305-308,Essex, UK, September 1996. Updated version published as book chapter (§38).
§124 V. Govindaraju, R. Srihari, and S. Srihari, “Handwritten Text Recognition”, Fourth InternationalWorkshop on Handwriting Recognition, pp. 265-274, Taipei, Taiwan, December 1994.
§125 R. Srihari, M. Venkatraman*, R. Chopra, and V. Govindaraju, “Use of Collateral Text in ImageInterpretation”, ARPA Image Understanding Workshop, pp. 897-907, Monterey, CA, November1994.
§126 V. Govindaraju, R. Srihari, and S. Srihari”, “Handwritten Text Recognition”, IAPR Workshop
on Document Analysis Systems, pp. 157-171, Kaiserlautern, Germany, October 1994. Updatedversion published as book chapter (§41).
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§127 J. Zhou*, V. Govindaraju, R. Acharya, and S. Srihari, “State Name Abbreviation Recognition”,Third International Workshop on Frontiers in Handwriting Recognition, pp. 423-430, Buffalo,NY, May 1993.
§128 S. Madhvanath* and V. Govindaraju, “Holistic Word Recognition”, Third International Work-
shop on Frontiers in Handwriting Recognition, pp. 71-81, Buffalo, NY, May 25–27, 1993.
§129 V. Govindaraju and S. Srihari, “Separating Handwritten Text from Non-Textual Interference”,Second International Workshop on Frontiers in Handwriting Recognition, pp. 229-240, Chateaude Bonas, France, September 1991. Updated version published as book chapter (§42).
§130 J. Hull, T. Ho, V. Govindaraju, J. Favata, and S. Srihari, “Combination of Segmentation Basedand Holistic Handwritten Word Recognition Algorithms, International Workshop on Frontiers
in Handwriting Recognition, pp. 229-240, Chateau de Bonas, France, September 1991. Updatedversion published as book chapter (§43).
Symposium Papers (Abstract Refereed)
§130 V. Govindaraju, “Automatic Reading and Mining of Pre-Hospital Care Reports”, 14th IEEE
Symposium on Computer-Based Medical Systems, pp. 152-157, Bethesda, MD, July 2001.
§131 V. Govindaraju, Z. Shi, and A. Teredesai*, “Secondary Classification Using Key Features”, SPIESymposium on Electronic Imaging Science and Technology, Internet Imaging, SPIE ProceedingsSeries, San Jose, pp. 272-278, CA, January 2001.
§132 S. Setlur, V. Govindaraju, S. Srihari, A. Lawson,, “Large Scale Address Recognition Systems-Truthing and Tools”, Symposium on Document Image Understanding Technology, MD, April2001.
§133 S. Setlur and V. Govindaraju, “Translingual OCR by Template Correlations”, SPIE Symposium
on Electronic Imaging Science and Technology Internet Imaging, SPIE Proceedings Series, SanJose, CA, January 2000.
§134 S. Srihari, W. Yang, and V. Govindaraju, “Graph-Theoretic Modeling and Entropy Analysis ofPostal Address Fields”, HKK Conference and Symposium, Waterloo, ON, March 1999.
§135 G. Kim* and V. Govindaraju, “Efficient Chain Code Based Image Manipulation for Handwrit-ten Word Recognition”, SPIE Symposium on Electronic Imaging Science and Technology, SPIEProceedings Series, pp. 262-272, San Jose, CA, February 1996.
§136 S. Madhvanath* and V. Govindaraju, “Holistic Lexicon Reduction for Handwritten Word Recog-nition”, SPIE Symposium on Electronic Imaging Science and Technology, SPIE Proceedings Se-ries, pp. 224-234, San Jose, CA, February 1996.
§137 J. Favata, V. Govindaraju, and S. Srihari, “Unconstrained Handwritten Text Recognition”, Sym-posium on Document Image Understanding Technology, pp. 226-236, Bowie, MD, October 1995.
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Other Periodicals
§138 G. Sheikoaslami, S. Srihari, V. Govindaraju, Computer-aided Graphology and Persian Handwrit-ing, Computer Magazine, 9(61), 1998 (in Arabic).
§139 V. Govindaraju and R.K. Srihari, “Automatic Face Recognition In News Photo Database”, Ad-vanced Imaging, Miller Freeman, Inc., Vol. 5, No. 11, 1989, pp. 22-26, 1991.
Community Service
2001-02 Teaching group of 40 kids (ages 5 to 14) ethics on Sunday mornings.1993-98 Involved with activities to improve literacy among rural people in India.
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