Abstract
Traditional authentication (identity verification) systems, employed to gain access to a private area in a building or to data stored in a computer, are based on something the user has (an authentication card, a magnetic key) or something the user knows (a password, an identification code). But emerging technologies allow for more reliable and comfortable for the user, authentication methods, most of them based in biometric parameters. Much work could be found in literature about biometric based authentication, using parameters like iris, voice, fingerprint, face characteristics, and others. In this work a novel authentication method is presented, and first results obtained are shown. The biometric parameter employed for the authentication is the retinal vessel tree, acquired through a retinal angiography. It has already been asserted by expert clinicians that the configuration of the retinal vessels is unique for each individual and that it does not vary in his life, so it is a very well suited identification characteristic. Before the verification process can be executed, a registration step is needed to align both the reference image and the picture to be verified. A fast and reliable registration method is used to perform that step, so that the whole authentication process takes very little time.
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References
Daugman, J.G.: Biometric personal identification system based on iris analysis. United States Patent (5), 291–560 (1994)
Federal Bureau of Investigation. The science of fingerprints: Classifications and uses. Technical report, U.S.Government Printing Office, Washington D.C (1984)
Jain, A., Hong, L., Pankanti, S., Bolle, R.: An identity authentication system using fingerprints. Proceedings of the IEEE 85(9) (September 1997)
Zunkel, R.: Hand geometry based verification. In: BIOMETRICS:Personal Identification in Networked Society, Kluwert Academic Publishers, Dordrecht (1999)
Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.: Face recognition: A literature survey. Technical report, National Institute of Standards and Technology (2000)
Bigüin, J., Chollet, C., Borgefors, G. (eds.): Proceedings of the 1st.International Conference on Audio- and Video-Based Biometric Person Authentication, Crans- Montana, Switzerland (March 1997)
Verlinde, P., Chollet, G., Acheroy, M.: Multi-modal identity verification using expert fusion. Information Fusion 1(1), 17–33 (2000)
Brown, L.G.: A survey of image registration techniques. ACM Computer Surveys 24(4), 325–376 (1992)
Maintz, J.B.A., Viergever, M.A.: A survey of medical image registration. Medical Image Analysis 2(1), 1–36 (1998)
Lloret, D., Mariño, C., Serrat, J., López, A.M., Villanueva, J.J.: Landmark-based registration of full slo video sequences. In: Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, vol. I, pp. 189–194 (2001)
Mariño, C., Penas, M., Penedo, M.G., Lloret, D., Carreira, M.J.: Integration of mutual information and creaseness based methods for the automatic registration of slo sequences. In: Proceedings of the SIARP 2001, VI Simpósio Ibero-Americano de Reconhecimento de Padrões, vol. I (2001)
López, A., Lloret, D., Serrat, J., Villanueva, J.J.: Multilocal creasness based on the level set extrinsic curvature. Computer Vision and Image Understanding 77, 111–144 (2000)
Press, W., Teukolsky, S., Vetterling, W., Flannery, B.: Numerical Recipes in C, 2nd edn. Cambridge University Press, Cambridge (1992)
Lloret, D., López, A., Serrat, J., Villanueva, J.J.: Creaseness-based CT and MR registration: comparison with the mutual information method. Journal of Electronic Imaging 8(3), 255–262 (1999)
Lewis, J.P.: Fast template matching. In: Vision Interface, pp. 120–123 (1995)
Ehrenfeld, S., Littauer, S.B.: Introduction to Statistical Method, p. 132. McGraw-Hill, New York (1964)
Christensen, G.E., Johnson, H.J.: Consistent image registration. IEEE Trans. on Medical Imaging 20(7), 568–582 (2001)
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Mariño, C., Penedo, M.G., Carreira, M.J., González, F. (2003). Retinal Angiography Based Authentication. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_37
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DOI: https://doi.org/10.1007/978-3-540-24586-5_37
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