Actas de congresos
Multimodal Biometric Authentication Based On Iris Pattern And Pupil Light Reflex
Registro en:
9784990644109
Proceedings - International Conference On Pattern Recognition. , v. , n. , p. 2857 - 2860, 2012.
10514651
2-s2.0-84874562424
Autor
Yano V.
Zimmer A.
Ling L.L.
Institución
Resumen
Biometrics-based authentication is a method of personal identification that has some advantages over the password and object-based ones, mainly for the user, who doesn't need to carry or memorize anything. However, this kind of identification is also subject to problems. Besides the technology-related possibilities of fraud, such as system invasion, database corruption or algorithm injection, some of the common used bio-metric features can be faked. Furthermore, most cases of false rejection are related to the quality of the acquired sample. This paper proposes a multimodal bio-metric authentication method which incorporates the use of dynamic features of the human reflex and the iris pattern recognition for a better performance. A prototype system has been implemented and tested with 59 volunteers. Experimental results presented an EER of 2.44%. © 2012 ICPR Org Committee.
2857 2860 Science Council of Japan,Information Processing Society of Japan (IPSJ),Inst. Electron., Inf. Commun. Eng. (IEICE) Inf. Syst. Soc. (ISS),Japan Society for the Promotion of Science (JSPS),The Telecommunications Advancement Foundation Jain, A., Ross, A., Nandakumar, K., (2011) Introduction to Biometrics, , Springer, Heidelberg Ross, A., Nandakumar, K., Jain, A., (2006) Handbook of Multibiometrics, , Springer, Heidelberg Roberts, C., Biometric attack vectors and defences (2007) Computers & Security, 26 (1). , 14-25, Feb Xiao, Q., Biometrics-technology, application, challenge, and computational intelligence solutions (2007) IEEE Computational Intelligence Magazine, 2 (2). , 5-25, May Thalheim, L., Krissler, J., Ziegler, P.M., Biometrische Zugangssicherungen auf die Probe gestellt (2002) C'T Magazin für Computertechnik, 11, pp. 114-123. , May Matsumoto, T., Matsumoto, H., Yamada, K., Hoshino, S., Impact of Artificial "gummy" Fingers on Fingerprint Systems (2002) Proceedings of SPIE, 4677, pp. 275-289. , Jan Chen, H., Valizadegan, H., Jackson, C., Soltysiak, S., Jain, A.K., Fake hands: Spoofing hand geometry systems (2005) The Biometric Consortium Conference Toth, B., Biometric liveness detection (2005) Information Security Bulletin, 10 (8), pp. 291-297. , Oct Nishigaki, M., Arai, D., A user authentication based on human reflexes using blind spot and saccade pesponse (2008) International Journal of Biometrics, 1 (2), pp. 173-190. , Aug Pamplona, V., Oliveira, M.M., Baranoski, G.V.G., Photorealistic models for pupil light reflex and iridal pattern deformation (2009) ACM Transactions on Graphics, 28 (4), pp. 1061-10612. , Aug Yasukouchi, A., Hazama, T., Kozaki, T., Variations in the light-induced suppression of nocturnal melatonin with special reference to variations in the pupillary light reflex in humans (2007) Journal of Physiological Anthropology, 26 (2), pp. 113-121. , Mar Bergamin, O., Kardon, R.H., Latency of the pupil light reflex: Sample rate, stimulus intensity, and variation in normal subjects (2003) Investigative Ophthalmology & Visual Science, 44 (4), pp. 1546-1554. , Apr Daugman, J., How iris recognition works (2004) IEEE Transactions on Circuits and Systems for Video Technology, 14, p. 1. , 21-30, Jan He, Y., Cui, J., Tan, T., Wang, Y., Key techniques and methods for imaging iris in focus (2006) International Conference on Pattern Recognition, pp. 557-561 Fotiou, F., Fountoulakis, K.N., Goulas, A., Alexopoulos, L., Palikaras, A., Automated standardized pupillometry with optical method for purposes of clinical practice and research (2000) Clinical Physiology, 20 (5), pp. 336-347. , Sep Yano, V., Ferrari, G., Zimmer, A., Using the pupillary reflex as a diabetes occurrence aid tool through neural networks. in: M. kamel, a. campilho (org. ) (2011) Image Analysis and Recognition, 6754, pp. 40-47. , Springer Verlag, Heidelberg Ibanez, V.B.L., Yano, V., Zimmer, A., Automatic pupil size measurement based on region growth ISSNIP Biosignals and Biorobotics Conference, January 2012 Scharr, H., Optimal filters for extended optical flow (2007) Complex Motion, pp. 14-29. , B. Jähne, R. Mester, E. Barth, H. Scharr (Ed. ) Springer, Heidelberg Wildes, R.P., Iris recognition: An emerging biometric technology (1997) Proceedings of the, 85 (9), pp. 1348-1363. , IEEE Sep