PCA-Based Palm Vein Authentication System

Abstract

In this paper we proposed a system for authentication using Palm Vein based on using principle component analysis (PCA) for feature extraction. Palm vein images of dorsa captured using infrared camera. PCA is applied to generate vector of features that represent the highest detailed variant information. A matching process is then applied to find the best match from the data base to recognize and authenticate the person. Experiments show that our system able to recognize human with accuracy 85% in real-time based on supervised recognition.