A Comparative Study on Unimodal and Multimodal Biometric Recognition
Md. Morshedul Arefin1, Md. Ekramul Hamid2
1Md. Morshedul Arefin, Department of Computer Science and Engineering, University of Rajshahi, Bangladesh.
2Prof. Dr. Md. Ekramul Hamid, Department of Computer Science and Engineering, University of Rajshahi, Bangladesh.
Manuscript received on December 06, 2014. | Revised Manuscript received on December 13, 2014. | Manuscript published on December 15, 2014. | PP: 37-45 | Volume-3 Issue-1, December 2014. | Retrieval Number: A0757123114/2014©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: Biometrics is one of the recent trends in security, which is mainly used for verification and recognition systems. By using biometrics we confirm a particular person’s claimed identity based on particular person’s physiological or behavioral characteristics such as fingerprint, face or voice etc. Most biometric systems deployed in real-world applications are unimodal, such as they use a single source of information for authentication (e.g., single fingerprint, face, voice etc.). Some of the limitations imposed by unimodal biometric systems can be overcome by including multiple sources of information for establishing identity. In this paper, it is shown that fingerprint and face recognition can form a good combination for a multimodal biometric system.
Keywords: Biometrics, Identification, Verification, Features, Fusion.