A New Pyramidal Approach for the Address Block Location Based on Hierarchical Graph Coloring

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    A New Pyramidal Approach for the AddressBlock Location Based on Hierarchical Graph

    ColoringAbstract

    An efficient sorting mail system is mainly based on an accurate optical recognition of theenvelopes addresses. However, the location of the address block (ABL) should be done beforethe OCR recognition process . The location step is very fundamental as it has a great impact onthe global performance of the system. Actually, a good location step leads to a better recognitionrate. The limit of current methods depends on modular linear architectures used for ABL. Theirperformances de

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    pend on each independent module performance. We are presenting in this paper a new approachfor ABL based on the hierarchical graph coloring and on the pyramidal organization of data thatpresent the advantage to guarantee a good coherence between different modules and that reducesboth the computation time and the rejection rate. The proposed method gives very satisfying rateof 98% of good location on a set of 750 envelope images.

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    About this ChapterTitle

    A New Pyramidal Approach for the Address Block Location Based on HierarchicalGraph Coloring

    Book TitleImage Analysis and Recognition

    Book Subtitle4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007.Proceedings

    Pages

    pp 1276-1288Copyright

    2007DOI

    10.1007/978-3-540-74260-9_113Print ISBN

    978-3-540-74258-6Online ISBN

    978-3-540-74260-9Series Title

    Lecture Notes in Computer Science

    Series Volume4633

    Series ISSN0302-9743

    PublisherSpringer Berlin Heidelberg

    Copyright HolderSpringer-Verlag Berlin Heidelberg

    http://dx.doi.org/10.1007/11946441_42http://dx.doi.org/10.1007/11946441_42http://rd.springer.com/book/10.1007/978-3-540-74260-9http://rd.springer.com/book/10.1007/978-3-540-74260-9http://rd.springer.com/bookseries/558http://rd.springer.com/bookseries/558http://rd.springer.com/bookseries/558http://rd.springer.com/book/10.1007/978-3-540-74260-9http://dx.doi.org/10.1007/11946441_42
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    Additional Links

    About this Book

    Topics

    Image Processing and Computer Vision Pattern Recognition Biometrics Artificial Intelligence (incl. Robotics) Computer Graphics Algorithm Analysis and Problem Complexity

    Keywords

    Text localization

    physical segmentation real time processing business documents processing Graph coloring

    Industry Sectors

    Electronics IT & Software Telecommunications

    Editors Mohamed Kamel Aurlio Campilho

    Authors

    Djamel Gaceb (1) Vronique Eglin (1) Frank Lebourgeois (1) Hubert Emptoz (1)

    Author Affiliations

    1. LIRIS INSA de Lyon 20, av. Albert Einstein 69621 Villeurbanne Cedex,

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