Hardware Implementation of Palm Vein Biometric Modality for Access Control in Multilayered Security System

Abstract

Among the biometric modalities palm veins are the most secure and difficult to duplicate. This palm vein verification system aims to recognize a person from its exclusive palm vein organization that cannot be forged easily since veins are situated in inner layers of skin. Embedded devices are gaining increased attention in biometrics due to reliability and cost efficient systems. An embedded palm vein recognition system is the need of today in institutes, industries, security places etc. The aim of this proposed work is to implement palm vein identification system on hardware unit so that it can be further build into a single standalone unit, where it can be used in final level security in multilayered security system without any possibility of hacking. The hardware platform used in the proposed work is Blackfin ADSP-561 processor and the algorithms used for matching of palm vein are performed using C language. The project focuses on storing images and implementing the matching algorithms on hardware platform itself such that PC or laptop is not needed for identification purpose. Principal component analysis (PCA) and template matching techniques are used as verification algorithms of palm veins. Finally, it can be concluded from the experimental results that this approach can verify an individual with an average accuracy of 92%.