DocumentCode :
2923580
Title :
Arabic handwriting recognition: Challenges and solutions
Author :
Aburas, Abdurazzag Ali ; Gumah, Mohamed E.
Author_Institution :
Electrical and Computer Engineering Dept, International Islamic University Malaysia, Malaysia
Volume :
2
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
6
Abstract :
Optical Characters Recognition (OCR) is one of the active subjects of research since the early days of computer science. Even if Arabic characters are used by more than a half a billion people; Arabic characters recognition has not received enough interests by the researchers. Little research progress has been achieved comparing to what has been done with Latin and Chinese. The cursive nature of the Arabic characters makes it more difficult to achieve a high accuracy in character recognition since even printed Arabic characters are in cursive form. This paper presents the main challenges (difficulties) researchers are facing and up to dated solutions (the common methods) are used for Arabic text recognition.
Keywords :
Character recognition; Feature extraction; Handwriting recognition; Image coding; Image segmentation; Optical character recognition software; Optical devices; Optical noise; Postal services; Sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631744
Filename :
4631744
Link To Document :
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