By :Avin Jalal .

Supervisor: Ms.Shaheen Abdlkarim.

AI & PATTERN RECOGNITION

SUBJECTS:

WHAT IS PATTERN? TYPE OF PATTERNS. IDEA OF PATTERN RECOGNITION. WHAT IS PATTERN RECOGNITION? PROCESS PHASE IN PR. DESIGN PATTERN RECOGNITION. PATTERN RECOGNITION PROCESS. WHAT IS PATTERN CLASS? APPROACHES FOR PATTERN RECOGNITION. PROBLEMS & APPLICATIONS.

WHAT IS PATTERN?

PATTERN : PATTERN IS A SET OF PHYSICAL OBJECTS WHERE THE ELEMENTS OF THE SET ARE SIMILAR TO ONE ANOTHER IN CERTAIN WAYS.[1]

TYPE OF PATTERNS: [1]

SPATIAL PATTERNS:TEMPORAL PATTERN:ABSTRACT PATTERNS:

PATTERN RECOGNITION:

THE IDEA OF PATTERN RECOGNITION: [6] HUMAN PERCEPTION: [2]

PATTERN RECOGNITION:

PATTERN RECOGNITION: Is the science for how machines can: [6]– Observing (sensing) the environment, – Learning to distinguish patterns ,– and making sound decisions about the patterns or

pattern classes.RECOGNITION PATTERN WAYS: [9]

1. Statistical way.2. Artificial Intelligence.

PROCESSING PHASES IN PR: [10]

1.Training/Learning2.Detecting/Classifying

Input processing

Feature Measurement Classification

Pre-processing Feature extraction selection Learning

Classification

Train

Feedback

THE DESIGN OF A PATTERN RECOGNITION SYSTEM : [6]

1. DATA ACQUISITION AND PREPROCESSING:2. DATA REPRESENTATION:3. TRAINING:4. DECISION-MAKING:

PATTERN RECOGNITION PROCESS: [4]

PATTERN RECOGNITION : [9]

PATTERN RECOGNITION : [9]

PATTERN RECOGNITION:

WHAT IS A PATTERN CLASS (OR CATEGORY)?[10]

SUPERVISED LEARNING: [4] Examples: [5]• The Perceptron learning algorithm,

UNSUPERVISED LEARNING: [4] Examples : [5]• k-Means clustering algorithm,

CLASSIFICATION IN (PR):

• SUPERVISED TRAINING/LEARNING: [10]

CLASSIFICATION IN (PR):

• UNSUPERVISED TRAINING/LEARNING: [10]

APPROACHES FOR PATTERN RECOGNITION : [8]

TEMPLATE MATCHING:STATISTICAL CLASSIFICATION: SYNTACTIC OR STRUCTURAL MATCHING: ARTIFICIAL NEURAL NETWORKS:

TEMPLATE MATCHING : [7]

Class Z

Class Y

Input pattern Class X

Z

Y

Temp X

TEMPLATE MATCHING : [7]

TEMPLATE MATCHING : [7]

STATISTICAL CLASSIFICATION : [8]

Feature Extraction Algorithm

X3X2

X1

Y3

Y1

Y2

Feature Extraction Algorithm

Set Of Feature X

Set Of Feature Y

...

STATISTICAL CLASSIFICATION : [8]

REFERENCES:1. Dr. C. N. Ravi Kumar, Pattern Classification,(http://uni-mysore.ac)2. Pradeep Mishra, Pattern Recognition, (http://http://www.slideshare.net)3. Shyh-Kang Jeng, ―Introduction‖, Pattern recognition Course Website, 2009. [online]

Available: http://cc.ee.ntu.edu.tw/~skjeng/PatternRecognition2007.htm. [Accessed Sep. 30, 2009].

4. Talal A. Alsubaie, SFDA, Pattern Recognition,(http://http://www.slideshare.net)5. M. Tim Jones, Artificial Intelligence A Systems Approach,page-2576. Anil K. Jain, Robert P.W. Duin, Introduction to Pattern Recognition1,(citeseerx.ist.psu.edu)7. , على المعتمدة القالبية المطابقة باستخدام الصور تمييز الله عبد صالح هدية

( - , المجلد والعلم التربية مجلة االرتباط العدد ( ) 23معامل لسنة( 2، ،2010 ,page 182-191

8. الصور ومعالجة األنماط تمييز في Pattern Recognition and Image Processing, (httpمقدمة://lessons.bdr130.net/1586.html)

9. , / األردنية والتكنولوجيا العلوم جامعة حاسوب مهندس العناتي األنماط عبدالله على التعرف ” Pattern recognition ” 2,1 ,(http://www.teedoz.com)

10. Luís Gustavo Martins, Introduction To Pattern Recognition, (http://http://www.slideshare.net)

Question ?

THANK YOU ^_^