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