Cascade Multimodal Biometric System Using Fingerprint and Iris Patterns

Abstract

Unimodal biometric systems based on single biometric trait do not often afford performance requirements for the security applications. Multimodal biometric system uses two or more biometric traits consolidated in one single system to identify users of the system. Among many biometrics traits, fingerprint and iris can accurately identify system’s users due to their unique textures which extracted during the recognition process. In this paper we proposed a multimodal biometric identification system that sequentially combines fingerprint and iris traits in the identification process. The proposed system design improves the user convenience by reducing the identification time and maintaining very high accuracy. The proposed system tested on CASIA-Iris V1 database and FVC 2000 and 2002 fingerprint database. The experimental results show that proposed multimodal system is better than unimodal system using fingerprint or iris.