Abstract
Iris segmentation is a critical stage in the whole iris recognition process. In this paper, a procedure of iris segmentation is presented which was designed on the basis of the natural properties of the iris. The proposed procedure consists of two main steps: circles localization and non-iris region detection. In our method, we took into consideration of some typical problems most likely to appear in practice. And experiments show that our method can achieve good results and robust as well.
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References
Wildes, R.: Iris Recognition, An Emerging Biometric Technology. Proc. of the IEEE 85 (1997)
Williams, G.O.: Iris Recognition Technology. In: IEEE AES Systems Magazine (1997)
Daugman, J.: How Iris Recognition Works. IEEE Transactions on Circuits and Systems for Video Technology 14, 21–30 (2004)
Daugman, J.: How Iris Recognition Works. In: Proc. of International Conference on Image Processing (2002)
Ma, L., Tan, T., Wang, Y., Zhang, D.: Personal Identification Based on Iris Texture Analysis. IEEE Transaction on Pattern Analysis and Machine Intelligence 25(12) (2003)
Ritter, N.: Location of the Pupil-Iris border in slit-lamp images of the cornea. In: Proc. of the International Conference on Image Analysis and Processing (1999)
Daugman, J.: High confidence personal identification by rapid video analysis of iris texture. In: Proc. of the IEEE, International Carnahan conf. on security technology (1992)
Huang, J., Ma, L., Wang, Y., Tan, T.: Iris Model Based on Local Orientation Description. In: Proc. of Asian Conference on Computer Vision, Korea, pp. 954–959 (2004)
Canny, J.: A Computational Approach to Edge Detection. In: IEEE Transaction on Pattern Analysis and Machine Intelligence, pp. 679–714 (1986)
Kong, W.K., Zhang, D.: Accurate Iris Segmentation Based on Novel Reflection and Eyelash Detection Model. In: Proc. of International Symposium on Intelligent Multimedia, Video and Speech Processing (2001)
Zewail, R., Seil, A., Hamdy, N., Saeb, M.: Iris Identification Based on Log-Gabor Filtering. In: Proceedings of the IEEE Midwest Symposium on Circuits, Systems, & Computers (2003)
Boles, W.W., Boashash, B.: A Human Identification Technique Using Images of the Iris and Wavelet Transform. IEEE Transaction on Signal Processing 46(4) (1998)
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© 2004 Springer-Verlag Berlin Heidelberg
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Yuan, X., Shi, P. (2004). An Iris Segmentation Procedure for Iris Recognition. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_62
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DOI: https://doi.org/10.1007/978-3-540-30548-4_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
Online ISBN: 978-3-540-30548-4
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