Abstract: This paper designs a thenar palmprint recognition system. In the diagnosis of allergic diseases, thenar palmprint can be divided into four grades based on its special candidates. This system is developed mainly depend on the above, and its main function is able to show the grade of the thenar palmprint quickly in the case of the palm picture is given, and in order to achieve the purpose of supporting clinical experts to diagnose. The classification of Gray Level Co-occurrence Matrix(GLCM) and SVM are used in this system to realize the systematic. Test results show that this system can realize the feature extraction and classification of thenar palmprint, and the precision and effect can make demand of medical aid diagnosis and research.
Gray Level Co-occurrence Matrix(GLCM),
Support Vector Machine(SVM),