Abstract
An efficient approach for iris recognition is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. And then a Haar wavelet transform is used to extract features from iris region of normalized. From this evaluation, we obtain iris code of small size and very high recognition rate. This effort is intended to enable a human authentication in small embedded systems, such as an integrated circuit card.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kim, J.O., Joung, B.J., Chung, C.H., Hwang, J. (2005). Efficient Iris-Region Normalization for a Video Surveillance System. In: Shimojo, S., Ichii, S., Ling, TW., Song, KH. (eds) Web and Communication Technologies and Internet-Related Social Issues - HSI 2005. HSI 2005. Lecture Notes in Computer Science, vol 3597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527725_39
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DOI: https://doi.org/10.1007/11527725_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27830-6
Online ISBN: 978-3-540-31808-8
eBook Packages: Computer ScienceComputer Science (R0)