Human authentication using FingerIris algorithm based on statistical approach

Abstract

Biometric becomes nowadays, a strong tool to authenticate persons, because they are able to prove a true identity. Research shows that different applications are used in verification. Fingerprints, Face, Iris recognition are some examples. But most of them safer from FRR and FAR, so for those reasons more researches and new algorithms are needed to be developed and to solve this problem. This paper presents a system with an algorithm, uses a pair of biometrics print (fingerprint and Iris), used to gain access to personal resources, it is based on a statistical approach. Features are extracted and used to authenticate persons. Paper shows that the developed system solves the mentioned problem and accelerates matching process. © 2010 Springer-Verlag.