An Experimental Approach for Recognizing Handwritten Arabic Words*

This paper discusses the process of implementing an off-line system for recognizing handwritten Arabic words. In order to recognize a word, its character decomposition should be known. This is done through segmentation. In our model, Arabic character recognition goes through a preprocessing stage followed by a recognition stage. Each character of the word is investigated in order to determine its features associated with the window number in which they are located. The steps taken for obtaining the window frame and windows as well as those features used are elaborated. A table lookup is used to determine the name of the character under consideration. This is followed by a discussion of the results and their interpretations. A comparison of the results obtained with other related work is given.