عنوان المقالة:Segmentation Techniques for Online Arabic Handwriting Recognition: A survey.
مصطفى علي ابوزريدة | Mustafa Ali Abuzaraida | 11679
Publication Type
Conference
Arabic Authors
Mustafa Ali Abuzaraida, Akram M Zeki, Ahmed M Zeki
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.
Publication Date
12/14/2010
Publisher
IEEE
DOI
10.1109/IC
Keywords
Segmentation, Arabic Text, Character Recognition
رجوع