Abstract
Many different biometric traits can be used for human identification, and each one has specific advantages over the others. However, there is a common problem for most of them: the spoofing vulnerability of the features. The authentication based on human reflexes is a recent proposal against frauds at the biometric level. The involuntary responses of the body cannot be removed from the person, naturally mimicked or reproduced by artificial means. This paper presents a proposal for the use of the features of the Pupillary Light Reflex for user authentication, using artificial neural networks for classification.
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References
Jain, A.K., Ross, A.A., Nandakumar, K.: Introduction. In: Introduction to Biometrics, pp. 1–49. Springer (2011)
Thalheim, L., Krissler, J., Ziegler, P.: Biometrische zugangssicherungen auf die probe gestellt. c’t Magazin für Computertechnik 11, 114–123 (2002)
Toth, B.: Biometric liveness detection. Information Security Bulletin 10(8), 291–297 (2005)
Nishigaki, M., Arai, D.: A user authentication based on human reflexes using blind spot and saccade response. Int. J. Biometrics 1(2), 173–190 (2008)
Gamlin, P., McDougal, D.: Pupil. In: Dartt, D.A. (ed.) Encyclopedia of the Eye, pp. 549–555. Academic Press, Oxford (2010)
Fotiou, F., Fountoulakis, K.N., Goulas, A., Alexopoulos, L., Palikaras, A.: Automated standardized pupillometry with optical method for purposes of clinical practice and research. Clinical Physiology 20(5), 336–347 (2000)
Bergamin, O., Schoetzau, A., Sugimoto, K., Zulauf, M.: The influence of iris color on the pupillary light reflex. Graefe’s Archive for Clinical and Experimental Ophthalmology 236, 567–570 (1998), doi:10.1007/s004170050122
Winn, B., Whitaker, D., Elliott, D.B., Phillips, N.J.: Factors affecting light-adapted pupil size in normal human subjects. Investigative Ophthalmology & Visual Science 35(3), 1132–1137 (1994)
Yano, V., Zimmer, A., Ling, L.L.: Multimodal biometric authentication based on iris pattern and pupil light reflex. In: 21st International Conference on Pattern Recognition, Tsukuba, Japan, IAPR, pp. 2857–2860 (2012)
Yano, V.A.N., Zimmer, A.: Multimodal biometric system based on dynamic pupillometry. In: Lopes, H., Hirata, N. (eds.) Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2012 (XXV Conference on Graphics, Patterns and Images), Ouro Preto, MG, Brazil (2012)
Yano, V., Ferrari, G., Zimmer, A.: Using the Pupillary Reflex as a Diabetes Occurrence Screening Aid Tool through Neural Networks. In: Kamel, M., Campilho, A. (eds.) ICIAR 2011, Part II. LNCS, vol. 6754, pp. 40–47. Springer, Heidelberg (2011)
Ibanez, V., Yano, V., Zimmer, A.: Automatic pupil size measurement based on region growth. In: Biosignals and Biorobotics Conference (BRC), 2012 ISSNIP, pp. 1–4 (January 2012)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice-Hall, Inc., Upper Saddle River (2006)
Haykin, S.O.: Neural Networks and Learning Machines, 3rd edn. Prentice Hall, Upper Saddle River (2009)
Weisstein, E.W.: Levenberg-marquardt method (2010), http://mathworld.wolfram.com/Levenberg-MarquardtMethod.html
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Yano, V., Ling, L.L., Zimmer, A. (2013). Biometric Authentication Based on Pupillary Light Reflex Using Neural Networks. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_11
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DOI: https://doi.org/10.1007/978-3-642-39094-4_11
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