An Algorithm for Multi-font Printed Tibetan Character Recognition

A comprehensive algorithm for multi-font printed Tibetan character recognition is proposed in this paper. Directional line element features are extracted from the normalized input character to formulate feature vector. Then two-stage classification strategy is adopted to determine the category of input character. The recognition rates on training set and test set reach 99.73% and 99.44%, respectively. The experimental results show the validity of proposed algorithm.