Multimodal Biometric system Fusion using Fingerprint and Iris with Fuzzy Logic
Mohamad Abdolahi1, Majid Mohamadi2, Mehdi Jafari3
1Mohamad Abdolahi, Department of Computer, Science and Research branch, Islamic Azad University, Kerman, Iran.
2Majid Mohamadi, Department of Computer, Science and Research branch, Islamic Azad University, Kerman, Iran.
3Mehdi Jafari, Department of Computer, Science and Research branch, Islamic Azad University, Kerman, Iran.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 504-510 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1173112612/2013©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: Single biometric systems have a variety of problems such as noisy data, non-universality, spoof attacks and unacceptable error rate. These limitations can be solved by deploying multimodal biometric systems. Multimodal biometric systems utilize two or more individual modalities, like face, iris, retina and fingerprint. Multimodal biometric systems improve the recognition accuracy more than uni-modal methods. In this paper, two uni-modal biometrics, iris and fingerprint are used as multi-biometrics and show using this biometrics has good result with high accuracy. Decision level is used for fusion and each biometric result is weighted for participate in final decision. Fuzzy logic is used for the effect of each biometric result combination.
Keywords: Fingerprint recognition, Iris recognition, , minutiae extraction, multi-biometric.