Online Arabic handwriting character recognition using matching algorithm

It very hard to collect a large set of handwriting samples used as training set. We generate a good handwriting Arabic character samples, the algorithm learns the stroke direction of the handwriting Arabic character from those real samples. In this paper, we present decision tree and matching algorithm to learn the stroke direction of the Arabic character and recognize the online Arabic handwriting isolated character. Experiments show the results and achieved a high online recognition rate for isolated Arabic character.