DocumentCode :
2570254
Title :
Segmentation techniques for online Arabic handwriting Recognition: A survey
Author :
Abuzaraida, Mustafa Ali ; Zeki, Ahmed M. ; Zeki, Akram M.
Author_Institution :
Fac. of Inf. Commun. Technol., Malaysia Int. Islamic Univ., Kuala Lumpur, Malaysia
fYear :
2010
fDate :
13-14 Dec. 2010
Abstract :
This paper presents and compares techniques that have been used to segment Arabic handwriting scripts in online recognition systems. Those techniques attempt to segment cursive Arabic words into characters, or segment characters into small strokes that can be recognized via the recognition system. The structure and strategy of those reviewed techniques are explained in this article. The strengths and weaknesses of using these techniques will also be discussed.
Keywords :
handwritten character recognition; image recognition; image segmentation; Arabic handwriting scripts segmentation; cursive Arabic words segmentation; online Arabic handwriting recognition; Handwriting recognition; Laboratories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology for the Muslim World (ICT4M), 2010 International Conference on
Conference_Location :
Jakarta
Print_ISBN :
978-1-4244-7920-7
Electronic_ISBN :
978-1-4244-7922-1
Type :
conf
DOI :
10.1109/ICT4M.2010.5971900
Filename :
5971900
Link To Document :
بازگشت