DocumentCode :
2013423
Title :
Two Approaches for Arabic Script Recognition-Based Segmentation Using the Hough Transform
Author :
Touj, S. ; Ben Amara, Najoua Essoukri ; Amiri, Hamid
Author_Institution :
Inst. Superieur d´Informatique, Tunis
Volume :
2
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
654
Lastpage :
658
Abstract :
The recognition of the cursive writing requires generally a segmentation procedure. This operation constitutes one of the major difficulties of all OCR systems. The research of an ideal segmentation process of a word into letters is Utopian. In this paper we propose two segmentation-by-recognition techniques for cursive printed Arabic recognition based on Hough transform.
Keywords :
Hough transforms; image segmentation; optical character recognition; Arabic script recognition-based segmentation; Hough transform; OCR systems; Utopian letter; cursive writing recognition; Character recognition; Hidden Markov models; Image edge detection; Optical character recognition software; Optical sensors; Pattern recognition; Shape; Vocabulary; Voting; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4376996
Filename :
4376996
Link To Document :
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