IMPROVED PALM PRINT RECOGNITION

Abstract

In existing biometric framework finger prints are normally forged; voice, signature, and hand shapes are easily forged; and biometrics, for example, fingerprints, iris and face recognition, are susceptible to forge, i.e., the biometric identifiers can be duplicated and used to make artifacts that can betray numerous presently accessible biometric gadgets. The biggest challenge to bio-metrics is to improve recognition performance in terms of accuracy and efficiency both and become maximum resistant to spoofing attacks. To this end, numerous specialists have tried to enhance unwavering quality and baffle spoofs by creating biometrics that are exceedingly individuating. Thus in this respect Palm print Pattern recognition has been introduced which is highly complex, hopefully insuperable challenge to those who wish to defeat them because blood vessels are hidden inside the body and furthermore in this there is no physical contact between the client and system. In the present research work efforts are made to propose a system which can improve the performance in terms of accuracy of the palm print patterns and their features, which is recognized from the given images, a public database of palm prints “SDUMLA-HMT”. The proposed work includes the Image Processing using MATLAB R2014a and several other algorithms.