Vein Pattern Recognition and Authentication Based on Gradient Feature Algorithm

Abstract

In today’s world, Biometrics plays a really crucial role in authentication and verification of a person’s identity. Existing technologies like fingerprint sensing, voice/face recognition are quiet accurate. Vein pattern detection is another such authentication technique for personal information which can be incorporated in our systems and databases. Finger vein detection may be a secure and convenient method of authentication. Researchers in research fraternities everywhere the planet are now trying to find such cost effective methods to extend the accuracy of authentication. We propose a procedure involving fetching infra-red image of vein pattern of an individual. Infra-red imaging of a finger would give us subsidiary shading patterns of bones and muscles alongside the vein pattern. Using gradient feature extraction algorithm vein pattern from the unclear infra-red image are going to be obtained. the higher vein pattern algorithm has got to be introduced to realize the higher Equal Error Rate comparing to the prevailing vein pattern recognition algorithms.