Abstract
In today’s networked world, the need to maintain the security of information or physical property is becoming both increasingly important and difficult. Most of the times, criminals have been taking advantage of a fundamental flaw in the conventional access control systems. The access control systems based on biometrics have a potential to overcome most of the deficiencies of current security systems and have been gaining importance in recent years. Comparison of various biometric traits shows that iris is very attractive biometric because of its uniqueness, stability, and non-intrusiveness. Number of problems required to be tackled in order to develop a successful iris recognition system, namely aliveness detection, iris segmentation, and feature extraction. However, iris is an annular part of an eye surrounded by other unwanted parts. Hence, imposes various challenges in accurate iris segmentation and feature extraction techniques to provide many opportunities for researchers in pursuing their research work in this area.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
S. Prabhakar, S. Pankanti, A.K. Jain, Biometric recognition: Security and privacy concerns. IEEE Secur. Priv. Mag. 33–42 (2003)
A. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–19 (2004)
X. Lu, Image analysis for face recognition. Available on http://www.cse.msu.edu/~lvxiaogu/publications/
R. Hietmeyer, Biometric identification promises fast and secure processing of airline passengers. J Int Civil Aviat Organ 55(9), 10–11 (2000)
A. Mansfield, J. Wayman, Best practices in testing and reporting performance of biometric devices. Version 2.01, (2002). PDF available on: http://www.npl.co.uk/upload/pdf/biometrics_bestprac_v2_1.pdf
L. Masek, Recognition of human iris patterns for biometric identification. Master’s thesis, University of Western Australia, (2003). Available on: http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdf
J. Daugman, How iris recognition works, In Proceedings. of International Conference. on Image Processing, vol. 1 (2002), pp 33–36
E. Wolff, Anatomy of the Eye and Orbit, 7th edn. (H. K. Lewis & Co, Ltd, 1976)
R. Wildes, Iris recognition: an emerging biometric technology. Proc. IEEE 85(9), 1348–1363 (1997)
J. Daugman, High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148–1161 (1991)
J. Daugman, Biometric personal identification system based on iris analysis. U.S. Patent No. 5,291,560, (1994)
J. Daugman, The importance of being random: statistical principles of Iris recognition. Pattern Recogn. 36(2), 279–291 (2003)
J. Daugman, How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004)
L. Ma, T. Tan, Y. Wang, D. Zhang, Personal identification based on iris texture analysis. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1519–1533 (2003)
R. Wildes, J. Asmuth, S. Hsu, R. Kolczynski, J. Matey, S. Mcbride, Automated noninvasive iris recognition system and method. United States Patent, No. 5572596, (1996)
R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride, A machine-vision system for iris recognition. Mach. Vis. Appl. 9, 1–8 (1996)
L. Thalheim, J. Krissler, P. Ziegler, Biometric access protection devices and their programs tut to the test (2002), p. 114. Available on http://www.larc.usp.br/~pbarreto/Leitura%202%20-%20Biometria.pdf
J. Daugman, Iris recognition and anti-spoofing countermeasures, In Proceedings. of 7th International Conference on Biometrics, London, (2004)
J. Daugman, Recognizing persons by their iris patterns: countermeasures against subterfuge, in Biometrics ed. by Jain et al. (Personal Identification in a Networked Society, 1999), pp. 103–121
S. Lee, K. Park, J. Kim, A study on fake iris detection based on the reflectance of the iris to the sclera for iris recognition, in Proceedings of ITC–CSCC Conference-2005, Jeju Island, South Korea, pp. 1555–1556 (2005)
A. Pacut, A. Czajka, Aliveness Detection for Iris Biometrics, in Proceedings. of IEEE International Carnahan Conference. on Security Technology, pp. 122–129 (2006)
M. Clynes, M. Cohn, Color dynamics of the pupil. Ann. N.Y. Acad. Sci. 156, pp. 931–950 (1969) (John Wiely Online Library, 2006)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
Bodade, R.M., Talbar, S.N. (2014). Introduction to Iris Recognition. In: Iris Analysis for Biometric Recognition Systems. SpringerBriefs in Applied Sciences and Technology(). Springer, New Delhi. https://doi.org/10.1007/978-81-322-1853-1_1
Download citation
DOI: https://doi.org/10.1007/978-81-322-1853-1_1
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1852-4
Online ISBN: 978-81-322-1853-1
eBook Packages: EngineeringEngineering (R0)