Abstract: This paper proposes the multimodal biometrics system for identity verification using four traits i.e., face, fingerprint, iris and signature. The proposed system is designed for applications where the training database contains a face, iris, two fingerprint images and/or one or two signature image(s) for each individual. The final decision is made by fusion at “matching score level architecture” in which feature vectors are created independently for query images and are then compared to the enrollment templates which are stored during database preparation for each biometric trait. Based on the proximity of feature vector and template, each subsystem computes its own matching score. These individual scores are finally combined into a total score, which is passed to the decision module. Multimodal system is developed through fusion of face, fingerprint, iris and signature recognition. This system is tested on IITK database and the overall accuracy of the system is found to be more than 97% accurate with FAR and FRR of 2.46% and 1.23% respectively.
Keywords: Biometrics, Multimodal, Face, Fingerprint, Iris, Signature, Fusion, Matching score
Title: Biometrics System for Efficient Human Recognition
Author: Ravi Pratap Kurrey, Deepak Kumar, Virendra Kumar Kaiwart, Dinesh Kumar
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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