Abstract
Iris patterns are believed to be an important class of biometrics suitable for subject verification and identification applications. An efficient approach for iris recognition through an iris region normalization is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. 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 (smart cards).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ashbourn, D.M.: Biometrics: Advanced identify verification: The complete guide. Springer, Heidelberg (2000)
Daugman, J.G.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Analysis and Machine Intelligence 15(11), 1148–1161 (1993)
Daugman, J.G.: Recognizing persons by their iris patterns. Cambridge University, Cambridge (1997)
Wildes, R.P.: Iris recognition: An emerging biometric technology. Proceedings of the IEEE 85(9), 1348–1363 (1997)
Boles, W.W., Boashash, B.: A human identification technique using images of the iris and wavelet transform. IEEE Trans. on Signal Processing 46(4), 1185–1188 (1998)
Young, R.K.: Wavelet and signal processing. Kluwer Academic Publisher, Dordrecht (1992)
Rioul, O., Vetterli, M.: Wavelet and signal processing. IEEE Signal Processing Magazine, 14–38 (October 1981)
Strang, G., Nguyen, T.: Wavelet and filter banks. Wesley-Cambridge Press (1996)
Daugman, J.G.: High confidence recognition of persons by rapid video analysis of iris texture. European Convention on Security and Detection (408) (May 1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Joung, B.J., Chung, C.H., Lee, K.S., Yim, W.Y., Lee, S.H. (2005). On Improvement for Normalizing Iris Region for a Ubiquitous Computing. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_128
Download citation
DOI: https://doi.org/10.1007/11424758_128
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25860-5
Online ISBN: 978-3-540-32043-2
eBook Packages: Computer ScienceComputer Science (R0)