DocumentCode :
2854486
Title :
Handwritten Cursive Jawi Character Recognition: A Survey
Author :
Nasrudin, M.F. ; Omar, K. ; Zakaria, M.S. ; Liong Choong Yeun
Author_Institution :
Center for Artificial Intell. Technol. (CAIT), Nat. Univ. of Malaysia, Bangi
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
247
Lastpage :
256
Abstract :
The subject of cursive handwritten character recognition is still open to be studied because of its complex nature. Recognition of Arabic handwritten and its variants such as Farsi (Persian) and Urdu had been receiving considerable attention in recent years. Numerous methods for recognizing Arabic characters have been proposed and applied to various types of images. These research highlights have not yet been given to another variant of Arabic which is the Jawi script. This paper provides a comprehensive review of existing works in handwritten Jawi character recognition. It includes the history and writing of Jawi, and challenges, current works, and future direction of Jawi character recognition system.
Keywords :
handwritten character recognition; numerical analysis; Arabic; Arabic characters; Farsi; Jawi script; Urdu; handwritten cursive Jawi character recognition; Algorithm design and analysis; Approximation algorithms; Character recognition; Handwriting recognition; Image segmentation; Skeleton; Writing; Cursive Script; Handwritten Character Recognition; Jawi; Off-line; Optical Character Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
Conference_Location :
Penang
Print_ISBN :
978-0-7695-3359-9
Type :
conf
DOI :
10.1109/CGIV.2008.36
Filename :
4627015
Link To Document :
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