Mustafa Ali Abuzaraida, Akram M Zeki, Ahmed M Zeki
الملخص العربي
Online recognition of Arabic handwritten text has
been an ongoing research problem for many years. Generally,
online text recognition field has been gaining more interest
lately due to the increasing popularity of hand-held computers,
digital notebooks and advanced cellular phones. Most of the
online text recognition systems consist of three main phases
which are preprocessing, feature extraction, and recognition
phase. This paper compares between different techniques that
have been used to extract the features of Arabic handwriting
scripts in online recognition systems. Those techniques attempt
to extract the feature vector of Arabic handwritten words,
characters, numbers or strokes. This vector then will be fed
into the recognition engine to recognize the pattern using the
feature vector. 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
26/03/2013
الناشر
IEEE
رابط DOI
10.1109/IC
الكلمات المفتاحية
Text Recognition; Features Extraction; Online
Arabic Recognition System.
مصطفى علي ابوزريدة | Mustafa Ali Abuzaraida | 12211