An Overview of Multimodal Biometrics using Meta-Heuristic Optimization Techniques for F2R System
Karthikeyan Shanmugasundaram1, Ahmad Sufril Azlan Mohamed2, Ibrahim Venkat3
1KarthikeyanShanmugasundaram, Research Scholar, School of Computer Science, University Sains Malaysia, Penang, Malaysia
2Dr. Ahmad SufrilAzlan Mohamed, Lecturer,School of Computer Science, University Sains Malaysia, Penang, Malaysia
3Dr. Ibrahim Venkat, Senior Lecturer, School of Computer Science, University Sains Malaysia, Penang, Malaysia.
Manuscript received on October 14, 2015. | Revised Manuscript received on October 27, 2015. | Manuscript published on November 05, 2015. | PP: 25-27 | Volume-5 Issue-5, November 2015 . | Retrieval Number: E2739115515/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Multimodal biometrics is the combination of more than one unimodal biometrics which involves more accuracy by implementing F2R(Face and Fingerprint Recognition) .This survey paper deals with the review of multimodal biometrics using F2R and analyzing various meta heuristic optimization algorithms used at the feature selection level of F2R.
Keywords: F2R – Face and Fingerprint Recognition, multimodal biometrics, Meta heuristics, Optimization.