Recognition image obtained by camera phone of character Arabic
In this paper, we proposed an offline Arabic handwriting character recognition system for isolated characters obtained by camera phone. Initially doing some pretreatments on the picture, the text is segmented into lines and then into characters. In a second phase, we have employed a several methods for extracting the features form the handwriting Arabic character, these methods are: Grey Level Co-occurrence Matrix (GLCM), Gabor Filters, Zoning, Projection Histogram, and Distance Profile. In addition, we have also tested the various combinations of Gabor Filters and Zoning.