Scientia Iranica

Scientia Iranica

Volume 18, Issue 3, June 2011, Pages 655-662
Scientia Iranica

Invited paper
Fuzzy-logic is precise—Its application to biometric system

https://doi.org/10.1016/j.scient.2011.05.003Get rights and content
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Abstract

This paper describes a biometric personal authentication method, using a pair of right and left sole pressure distribution changes, while walking. This system acquires sole pressure distribution changes via a mat type load distribution sensor, and does personal authentication. We employ twelve features based on the shape of a footprint, and twenty seven features based on weight movement for sole pressure data. Fuzzy if-then rules for each registered person are introduced, within which, their parameters are statistically determined in the learning process. We calculate the fuzzy degree of a pair of right and left sole pressure data for any registered person, and identify the walking person as the person with the highest fuzzy degree; the fuzzy degree being higher than a threshold. We employed 90 volunteers and authenticated them. We evaluate the proposed fuzzy method by five hold cross validation on which low false rejection and false acceptance rates are achieved. Thus, this fuzzy logic approach is precise for this biometric system.

Keywords

Biometrics
Personal identification
Load distribution sensor
Walking
Sole pressure distribution
Fuzzy inference

Cited by (0)

Takeda Takeda received a B.E. degree in Computer Engineering (2009) from the University of Hyogo, Japan, where he is currently studying for his M.E. degree. His research interests include Biometrics and Fuzzy Logic. He is a student member of IEICE and IEEE.

Kei Kuramoto received a B.S. degree from the Nura University of Education, his M.S. degree from NAIST, and his Ph.D. from Kyoto University, Japan. From 2005–2008, he stayed in the Toyota Central R&D Labs., Inc. (TCRL) to study Computational Chemistry. He is currently Associate Professor of the Graduate School of Engineering at the University of Hyogo. He is member of the IEEE.

Syoji Kobashi received his B.E. M.E. and D.E. degrees in Electronics from the Himeji Institute of Technology, Japan, in 1995, 1997 and 2000, respectively. He is currently Associate Professor of the Graduate School of Engineering at the University of Hyogo, and an Associate Guest Professor of the WPI Immunology Research Center at Osaka University. His research interests include Soft Computing Based Medical Image Processing. He received the Franklin V. Taylor Memorial Award at IEEE SMC (2009), the Outstanding Contribution Award at the World Automation Congress (2010), and the IEEE EMBS Japan Young Investigators Competition (2003). Dr. Kobashi is Associate Editor of the International Journal on Intelligent Computing in Medical Sciences and Image Processing, and the Autosoft Journal. He was also Co-chair of WAC 2010 and of some international conferences. He is member of the Japan Society for Medical and Biological Engineering, the Japan Society for Fuzzy Theory and Systems, the Organization of Human Brain Mapping, IEICE, and the IEEE.

Yutaka Hata received his B.E., M.E., and Ph.D. degrees from Himeji Institute of Technology, Japan, in 1984, 1986 and 1989, respectively. He is currently Professor in the Graduate School of Engineering at the University of Hyogo, Japan, and is Guest Professor at the WPI Immunology Frontier Research Center, Osaka University, Japan. His research interests include Medical and Healthcare Engineering, especially, Soft Computing Applications in Medicine. He is now serving as the Chair of IEEE CIS TF Fuzzy Logic in Medical Sciences and Co-chair of IEEE SMC TC Medical Informatics. He has received 13 international awards including the Franklin V. Taylor Best Paper Award in 2009 IEEE Int. Conf. on SMC, SPIE, and the Biomedical Wellness Award in 2010. He is an IEEE Fellow.