عنوان المقالة:Segmentation Techniques for Online Arabic Handwriting Recognition: A survey.
مصطفى علي ابوزريدة | Mustafa Ali Abuzaraida | 12636
نوع النشر
مؤتمر علمي
المؤلفون بالعربي
Mustafa Ali Abuzaraida, Akram M Zeki, Ahmed M Zeki
الملخص العربي
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.
تاريخ النشر
14/12/2010
الناشر
IEEE
رابط DOI
10.1109/IC
الكلمات المفتاحية
Segmentation, Arabic Text, Character Recognition
رجوع