A Proposed Framework for Enhancing Security in Fingerprint and Finger-Vein Multimodal Biometric Recognition

Biometrics is the way of expedient and scrutinizing the physical attributes of a person. An assortment of inevitable shortcomings has been faced by unimodal biometric recognition like noisy biometric data, Limited discriminability, Upper bound in performance and Lack of permanence, consequence degradation of accuracy and performance of the system. Multimodal biometrics consolidates the two or more biometric traits into a single detection. Problems transpired in unimodal recognition can be alleviated by using multimodal biometric systems that fuse evidence from scores of multiple biometric systems and characteristically provide better recognition as compared to unimodal biometric systems. Biometric authentications exploit inimitable combination of measurable physical Characteristics-fingerprint, finger vein features, voice print, iris of the eye, and so on-that cannot be willingly imitated or forged by others. This paper proffers the score level of fusion with feature extraction that can be espoused to consolidate the scores attained by fingerprint and vein and new approach fusion with alignment that are credible and the integration strategic that can be espoused to overlapped the features attained by fingerprint and vein. Fusion techniques include processing biometric modalities successively until an adequate match is obtained.