Multimodal Biometric Authentication Based On Iris Pattern And Pupil Light Reflex

dc.creatorYano V.
dc.creatorZimmer A.
dc.creatorLing L.L.
dc.date2012
dc.date2015-06-26T20:30:21Z
dc.date2015-11-26T14:29:42Z
dc.date2015-06-26T20:30:21Z
dc.date2015-11-26T14:29:42Z
dc.date.accessioned2018-03-28T21:32:58Z
dc.date.available2018-03-28T21:32:58Z
dc.identifier9784990644109
dc.identifierProceedings - International Conference On Pattern Recognition. , v. , n. , p. 2857 - 2860, 2012.
dc.identifier10514651
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874562424&partnerID=40&md5=a2d4a94317c6b107e6b913007c826224
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/97305
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/97305
dc.identifier2-s2.0-84874562424
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1246916
dc.descriptionBiometrics-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.
dc.description
dc.description
dc.description2857
dc.description2860
dc.descriptionScience 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
dc.descriptionJain, A., Ross, A., Nandakumar, K., (2011) Introduction to Biometrics, , Springer, Heidelberg
dc.descriptionRoss, A., Nandakumar, K., Jain, A., (2006) Handbook of Multibiometrics, , Springer, Heidelberg
dc.descriptionRoberts, C., Biometric attack vectors and defences (2007) Computers & Security, 26 (1). , 14-25, Feb
dc.descriptionXiao, Q., Biometrics-technology, application, challenge, and computational intelligence solutions (2007) IEEE Computational Intelligence Magazine, 2 (2). , 5-25, May
dc.descriptionThalheim, L., Krissler, J., Ziegler, P.M., Biometrische Zugangssicherungen auf die Probe gestellt (2002) C'T Magazin für Computertechnik, 11, pp. 114-123. , May
dc.descriptionMatsumoto, T., Matsumoto, H., Yamada, K., Hoshino, S., Impact of Artificial "gummy" Fingers on Fingerprint Systems (2002) Proceedings of SPIE, 4677, pp. 275-289. , Jan
dc.descriptionChen, H., Valizadegan, H., Jackson, C., Soltysiak, S., Jain, A.K., Fake hands: Spoofing hand geometry systems (2005) The Biometric Consortium Conference
dc.descriptionToth, B., Biometric liveness detection (2005) Information Security Bulletin, 10 (8), pp. 291-297. , Oct
dc.descriptionNishigaki, 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
dc.descriptionPamplona, 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
dc.descriptionYasukouchi, 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
dc.descriptionBergamin, 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
dc.descriptionDaugman, J., How iris recognition works (2004) IEEE Transactions on Circuits and Systems for Video Technology, 14, p. 1. , 21-30, Jan
dc.descriptionHe, 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
dc.descriptionFotiou, 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
dc.descriptionYano, 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
dc.descriptionIbanez, V.B.L., Yano, V., Zimmer, A., Automatic pupil size measurement based on region growth ISSNIP Biosignals and Biorobotics Conference, January 2012
dc.descriptionScharr, H., Optimal filters for extended optical flow (2007) Complex Motion, pp. 14-29. , B. Jähne, R. Mester, E. Barth, H. Scharr (Ed. ) Springer, Heidelberg
dc.descriptionWildes, R.P., Iris recognition: An emerging biometric technology (1997) Proceedings of the, 85 (9), pp. 1348-1363. , IEEE Sep
dc.languageen
dc.publisher
dc.relationProceedings - International Conference on Pattern Recognition
dc.rightsfechado
dc.sourceScopus
dc.titleMultimodal Biometric Authentication Based On Iris Pattern And Pupil Light Reflex
dc.typeActas de congresos


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