Recognition of isolated handprinted characters

Bo Martins

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    Abstract

    Handprinted characters are of unequal complexity and a common description of all alphabet symbols seems therefore unobtainable. However, letters which confuse human beings and man-made OCR systems usually have approximately the same appearance and may therefore be modeled jointly. We part the set of bitmaps into types, where each type has its unique feature space. The bitmaps belonging to some types are modeled independently from bitmaps belonging to other types. The feature vector of a bitmap initially constitutes a lossy representation of the contour(s) of the bitmap. The initial feature space is usually too large but can be reduced automatically by the use of a predictive code length or predictive error criterion
    Original languageEnglish
    Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
    VolumeVolume 3
    PublisherIEEE
    Publication date1996
    Pages2238-2243
    ISBN (Print)07-80-33280-6
    DOIs
    Publication statusPublished - 1996
    EventIEEE International Conference on Systems, Man, and Cybernetics - Beijing
    Duration: 1 Jan 1996 → …

    Conference

    ConferenceIEEE International Conference on Systems, Man, and Cybernetics
    CityBeijing
    Period01/01/1996 → …

    Bibliographical note

    Copyright 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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