Abstract
The Arabic characters are being used in various languages. Recognition of handwritten characters of Arabic alphabet set is an important area of research. The work on recognition of Handwritten Isolated Arabic Characters (HIAC) is still an open research problem and it has numerous applications. Machine reading of optically scanned text is usually called optical Character recognition (OCR). In this paper we present an OCR for Handwritten Isolated Arabic Characters. Basic Characters are recognized by Freeman chain code. The proposed method obtains the contour of the character and then generates a Freeman Chain Code for contoured character. The obtained Freeman chain code is unique for handwritten isolated characters. The present method is based on template matching to recognize handwritten printed isolated Arabic characters. It was trained and validated on 200 images (consisting of 7400 Arabic characters written by 18 writers). Our experimentation observed the overall recognition rate is 95%. It is carried out in order to improve the rate and the performance of an Arabic handwritten word recognition system. The proposed system has been implemented and tested on Matlab R2008b environment.
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