Hand Vessels Authentication Using SVM Classification in Infrared Images

In this paper, a method is proposed for authentication using hand vessels images. This research has three steps: database collection, simulation and verification process. In the database collection step, M hand infrared images have been collected from different people for the main train cases. The images have been processed in the pre-processing, feature extraction and modeling steps and then verified by the SVM classifier. The structure of hand vessels are unique for different people; thus in this bioassay method, hand vessels images have been used for processing and analysis. This assessment showed its high performance in the authentication of 92% and 0% error of assessment on the input samples.