Segmentation and coding of Arabic handwritten words

We propose a segmentation method and handwritten word coding method by human observation for automatic document processing in Arabic. The system is composed of three levels. The first level deals with the word segmentation into portions of characters called graphemes. The second level analyses these...

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Bibliographic Details
Published inProceedings of 13th International Conference on Pattern Recognition Vol. 3; pp. 264 - 268 vol.3
Main Authors Olivier, G., Miled, H., Romeo, K., Lecourtier, Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Automatic testing
Character recognition
Decision trees
Handwriting recognition
Hidden Markov models
Humans
Image coding
Image segmentation
Information analysis
System testing
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ISBN9780818672828
081867282X
ISSN1051-4651
DOI10.1109/ICPR.1996.546952

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Summary:We propose a segmentation method and handwritten word coding method by human observation for automatic document processing in Arabic. The system is composed of three levels. The first level deals with the word segmentation into portions of characters called graphemes. The second level analyses these graphemes and codes the word by a sequence of observations similar to human perception. The results of these two levels are used in the recognition level (the third level) which are presented as perspective in this paper.
ISBN:9780818672828
081867282X
ISSN:1051-4651
DOI:10.1109/ICPR.1996.546952