DocumentCode
2424458
Title
Segmentation and coding of Arabic handwritten words
Author
Olivier, G. ; Miled, H. ; Romeo, K. ; Lecourtier, Y.
Author_Institution
Lab. d´´Inf. Ind. Images, Rouen Univ., Mont-Saint-Aignan, France
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
264
Abstract
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
Keywords
character recognition; document image processing; feature extraction; hidden Markov models; image coding; image segmentation; Arabic handwritten words; automatic document processing; handwritten word coding method; segmentation method; word segmentation; Automatic testing; Character recognition; Decision trees; Handwriting recognition; Hidden Markov models; Humans; Image coding; Image segmentation; Information analysis; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546952
Filename
546952
Link To Document