Feature extraction techniques of online handwriting arabic text recognition

Abstract

Abstract-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.

Online System for recognizing Arabic Numerals Based on Matching Alignment Algorithm

“…Getting an appropriate set of features and an efficient extraction method are considered as the most vital factors for achieving a high recognition of performance for pattern recognition research field in general and text recognition in particular [15].…”

“…Hence, taking advantage of the dynamic characteristics of the data is crucial such as the speed, angular velocity, and other features of this kind. These features remain available for processing as the character is written on the Tablet [15].…”

“…However, feature types of recognizing any text can be categorized into three main types: structural features, statistical features, and global transformation [15].…”

Online Recognition System for Handwritten Hindi Digits Based on Matching Alignment Algorithm

“…For pattern recognition research field in general and text recognition approaches in particular, extracting an appropriate set of features and an efficient extraction method, have been considered as the most important factors for achieving high recognition performance [12].…”

Online Farsi digit recognition using their upper half structure

“…Ref. [3] compares between different techniques that have been used to extract the features of online Arabic handwriting recognition. A robust process to detect the appropriate critical points used in feature extraction for online Persian/Arabic character recognition is introduced in [4].…”