Multibiometric Identification System Based On Score Level Fusion
Pranav Garje · IOSR Journal of Electronics and Communication Engineering · 2012
Biometric identification systems, which use physical features to check a person's identity, ensures much greater security than password and number systems.Multibiometric system is being increasingly deployed in much large scale application because they provide lower error rate, large population coverage compared to unibiometric.In this paper, multibiometric identification system aim to fuse iris n fingerprint traits.During enrollment stage system generate iris n fingerprint template separately n stored in database.Approach for fingerprint recognition is to extract minutiae from fingerprint images.It makes possible to achieve highly robust fingerprint recognition for low-quality fingerprints.During iris recognition images are segmented, normalized and features are extract by using Log-Gabor filter.Finally matching is done with help of hamming-distance.Once both iris n fingerprint template are match separately scores are combined by using sum rule-based score level fusion which increase the recognition rate.Thus improve system accuracy and dependability.