SATORI,(2014) “Review Of Feature Extraction Techniques For Offline Handwriting Arabic Text Recognition” International Journal of Advances in Engineering

Offline recognition of Arabic handwritten texts has been an ongoing research problem for many years. Generally, offline text recognition field has been gaining more interest lately due to an essential role in many human computer interaction applications including cheque verification, mail sorting or office automation. Most of the offline text recognition systems can be broken down into the following stages: pre-processing, feature extraction and also classification. This paper compares between different techniques that have been used to extract the features of Arabic handwriting scripts in offline recognition systems. Those methods attempt to extract the feature vector of Arabic handwritten characters, words, numbers or strokes. This vector then will be used in the recognition engine to recognize the pattern using the feature vector. The strategy and structure of those reviewed techniques are explained in this article. We will also discuss the weaknesses and strengths of using these techniques