A Robust Method to Recognize Palm Vein Using SIFT and SVM Classifier

Abstract

Palm vein is a powerful biometric trait for human recognition. This is found that blood vascular net of each individual is unique. This palm veins are captured by the help of infrared light illumination. Unlike finger print and palm print, blood vessels lie below to skin therefore it is very difficult to forge the biometric system based on palm vein. In this research, a method is proposed to distinguish between various people palm vein. A powerful SIFT method is used to uniquely identify palm veins. This is done because of translation, rotation and scale invariance properties of SIFT technique. Thereafter SVM classifier is used to correctly identify the palm veins. The experimental results show a good precision and recall.