Analyzing Correlation Based Matching in Biometric System

摘要

Authentication is one of the very important phase of security. Biometric authentication is now becoming more demanding as it authenticates people by using biometric traits like fingerprint, face, iris etc. Biometric authentication method is different from the traditional method of authentication in which we have to remember password or having identification card for authenticating a person. Biometric authentication is more reliable and convenient. But the performance of the biometric system is fully depending on the true matching of the feature extracted and that stored in a template. In this paper we discuss about different matching techniques that are applied in the template and the extracted feature for authenticating a person. Three different techniques that is Ridge based matching, Minutia based matching, and correlation based matching are explained in the paper. In minutia based matching is done by using minutia. Minutia is actually a specific pattern present in the fingerprint like ridge, bifurcation etc. In Correlation based matching correlation function is applied for matching and in Ridge Based Matching finger ridge feature is used for matching purpose.