Research on Feature Extraction of Tai Le Recognition

摘要

Feature extraction is one of the key technologies in pattern recognition, which has great influence on the accuracy of text recognition. In this paper, The Tai Le are extracted with coarse grid features, directional line element feature and penetration number feature, evaluated using BP neural network classifier. The results show that the direction line element feature on the Tai Le print recognition data set YDH2019.1 has higher recognition accuracy than the other two features, is more suitable for the Tai Le recognition.