Thenar Palmprint Image Binary Classification Method Based on SVM

This paper proposes a thenar palmprint classification method based on Support Vector Machine(SVM).It uses high-frequency emphasis filter to enhance the thenar palmprint image.Eight textural features which come from four directions are extracted as classification feature vectors.It compares the accuracy rate of classification in different kernel function,results show that the kernel-based SVM method which use combined feature vectors can give the best performance.