Bimodal Biometric Verification Mechanism using fingerprint and face images(BBVMFF)


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Manjunathswamy, B.E. and Thriveni, J. and Venugopal, K.R. (2016) Bimodal Biometric Verification Mechanism using fingerprint and face images(BBVMFF). In: 2015 IEEE 10th International Conference on Industrial and Information Systems, 18-20 Dec,2015, Sri Lanka.

10.1109@ICIINFS.2015.7399040.pdf - Published Version

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An increased demand of biometric authentication coupled with automation of systems is observed in the recent times. Generally biometric recognition systems currently used consider only a single biometric characteristic for verification or authentication. Researchers have proved the inefficiencies in unimodal biometric systems and propagated the adoption of multimodal biometric systems for verification. This paper introduces Bi-modal Biometric Verification Mechanism using Fingerprint and Face (BBVMFF). The BBVMFF considers the frontal face and fingerprint biometric characteristics of users for verification. The BBVMFF Considers both the Gabor phase and magnitude features as biometric trait definitions and simple lightweight feature level fusion algorithm. The fusion algorithm proposed enables the applicability of the proposed BBVMFF in unimodal and Bi-modal modes proved by the experimental results presented.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: TV, Biomedical imaging, Principal component analysis, Fingerprint recognition, Biological information theory, Testing, Fingers
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Mr. Narayanaswamy B V
Date Deposited: 06 Oct 2016 07:08
Last Modified: 06 Oct 2016 07:08

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