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Iris Recognition, Overview

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Encyclopedia of Biometrics

Synonym

Iris Biometric

Definition

Iris recognition emerges as one of the most useful modalities for biometrics recognition in last few decades. The goal of iris recognition is to recognize human identity through the textural characteristics of one’s iris muscular patterns. The procedures for iris recognition usually consist of four stages: image acquisition, iris segmentation, feature extraction, and pattern matching. The iris recognition has been acknowledged as one of the most accurate biometric modalities because of its high recognition rate. It has been applied in the field of border control and national security. More and more countries and private companies have shown interests to use the technique of iris recognition. Large scale application of iris recognition in daily life is just a matter of time.

Introduction

The goal of biometric recognition is to recognize human identity by comparing the features of their physiological or behavioral characteristics. There are dozens of...

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References

  1. Flom, et al.: Iris recognition system. US Patent 4641349, 3 Feb 1987

    Google Scholar 

  2. Daugman, J.: Biometric personal identification system based on iris analysis. US Patent 5291560, 1 Mar 1994

    Google Scholar 

  3. Wildes, et al.: Automated non-invasive iris recognition system and method. US Patent 5572596, 5 Nov 1996

    Google Scholar 

  4. Dowski, E.R. Jr., Johnson, G.E.: Wavefront coding: a modern method of achieving high-performance and/or low-cost imaging systems. Proc. SPIE 3779, 137 (1999), DOI:10.1117/12.368203

    Google Scholar 

  5. Wildes, R.: Iris recognition: An emerging biometric technology. Proc. IEEE 85, 1348–1363 (1997)

    Article  Google Scholar 

  6. Daugman, J.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148–1161 (1993)

    Article  Google Scholar 

  7. Daugman, J.: How iris recognition works. IEEE Trans. Circ. Syst. video Technol. 14(1), 21–30 (2004)

    Article  Google Scholar 

  8. Daugman, J.: New methods in iris recognition. IEEE Trans. Syst. Man Cybern. Part B, 37(5), 1167–1175 (2007)

    Article  Google Scholar 

  9. Daugman, J.: Statistical richness of visual phase information: Update on recognizing persons by iris patterns. Int. J. Comput. Vis. 45(1), 25–38 (2001)

    Article  MATH  Google Scholar 

  10. Daugman, J.: The importance of being random: Statistical principles of iris recognition. Pattern Recognit. 36(2), 279–291 (2003)

    Article  Google Scholar 

  11. Savvides, M., Kumar, B.V.K.V., Khosla, P.K.: Eigenphases vs eigenfaces. In: Proceedings of the 17th International Conference on Pattern Recognition 2004 (ICPR 2004), vol. 3, pp. 810–813 vol. 3, 23–26 (Aug 2004)

    Google Scholar 

  12. Zhu, Y., Tan, T., Whang, Y.: Biometric personal identification based on iris patterns. In: Proceedings of International Conference on Pattern Recognition, pp. 2801–2804. Barcelona, Spain (2000)

    Google Scholar 

  13. Ma, L., Tan, T., Wang, Y., Zhang, D.: Personal identification based on iris texture analysis. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1519–1533 (2003)

    Article  Google Scholar 

  14. Ma, L., Wang, Y., Tan, T.: Iris recognition using circular symmetric filters. In: Proceedings of International Conference on Pattern Recognition, pp. 414–417 (2002)

    Google Scholar 

  15. Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circ. Syst. Video Technol. 14(1), 4–20 (2004)

    Article  Google Scholar 

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Li, YH., Savvides, M. (2009). Iris Recognition, Overview. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_252

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