Multi Model Biometric Identification System: Finger Vein and Iris
Faris E. Mohammed1, Eman M. ALdaidamony2, A. M. Raid3
1Faris E. Mohammed, Information Technology, Faculty of Computers& Information Sciences, Mansoura University, Egypt.
2Dr. Eman M. ALdaidamony, Lec, Department of Information Tech., Faculty of Computers& Information Sciences, Mansoura University, Egypt.
3A. M. Raid, Prof. Department of Information System, Faculty of Computers & Information Sciences, Mansoura University, Egypt.
Manuscript received on November 02, 2014. | Revised Manuscript received on November 04, 2014. | Manuscript published on November 05, 2014. | PP: 50-55 | Volume-4 Issue-5, November 2014. | Retrieval Number: D23520944142 /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: Personal identification process is a very important process that resides a large portion of daily usages. Identification process is applicable in work place, private zones, banks …etc. Human is a rich subject having many features that can be used for identification purpose such as finger vein, iris, face …etc. In this paper, a personal identification system with multi model architecture have been proposed. The proposed system fuse personal finger vein and iris which utilizes a vein feature matcher for finger vein and Hamming Distance Matcher for iris with matching score level to provide higher accuracy of 92.4%, with FAR and FRR of 0% and 7.5%, respectively. It has been more secure than a framework used a single identification of personal feature. General Terms- Multi-model System, Biometric, finger vein, Iris, Identification, Recognition.
Keywords: Biometric Computing, finger vein Recognition, IRIS Recognition, Minutiae Extraction, FAR, and FRR.