A Multimodal Biometric Identification System Using Finger Knuckle Print and Iris

Abstract: Multimodal biometric system becomes an emerging trend in biometric world due to its optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR) Its aim is to fuse two or more biometric traits i.e. face, palm print, finger print, ear, Iris, retina, voice etc. to provide higher security level. This paper describes a new multimodal biometric system by combining Finger Knuckle Print and Iris traits. The identification of proposed system is considerable reliable as compared with unimodal biometric systems. The performance has been tested using PolyU Finger Knuckle Print and CASIA Iris database. The effectiveness of proposed system regarding False Accept Rate (FAR), False Rejection Rate (FRR) and Genuine Accept Rate (GAR) is demonstrated with the help of Multimodal Biometrics Integration (MUBI) software.

Keywords: Biometric Fusion, Finger Knuckle Print, Iris, Matching Score, Multimodal biometrics.