Abstract
Iris recognition is both a technology already in successful use in ambitious nation-scale applications and also a vibrant, active research area with many difficult and exciting problems yet to be solved. This chapter gives a brief introduction to iris recognition and an overview of the chapters in the Second Edition of the Handbook of Iris Recognition.
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S.E. Baker, K.W. Bowyer, P.J.J. Flynn, Empirical evidence for correct iris match score degradation with increased time-lapse between gallery and probe matches, in Advances in Biometrics. Lecture Notes in Computer Science, vol. 5558 (2009), pp. 1170–1179
S.E. Baker et al., Degradation of iris recognition performance due to non-cosmetic prescription contact lenses. Comput. Vis. Image Underst. 114(9), 1030–1044 (2010)
K. Bowyer, K. Hollingsworth, P.J. Flynn, Image understanding for iris biometrics: a survey. Comput. Vis. Image Underst. 110(2), 281–307 (2008)
K. Bowyer, E. Ortiz, A. Sgroi, Trial Somaliland voting register de-duplication using iris recognition, in IEEE Automatic Face and Gesture Recognition Conference Workshops (2015)
A. Czajka, Influence of iris template ageing on recognition reliability. Commun. Comput. Inf. Sci. 452, 284–299 (2014)
J. Daugman, Demodulation by complex-valued wavelets for stochastic pattern recognition. Int. J. Wavelets Multiresol. Inf. Process. 1(1), 1–17 (2003)
J. Daugman, New methods in iris recognition. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 37(5), 1167–1175 (2007)
J. Daugman, I. Malhas, Iris recognition border-crossing system in the UAE. Biometrics, 49053 (2004)
J. Doyle, K. Bowyer, Robust detection of texured contact lenses in iris recognition using BSIF. IEEE Access 3, 1672–1683 (2015)
S.P. Fenker, Experimental evidence of a template aging effect in iris biometrics (2011)
FotoNation, Iris Recognition
J. Galbally et al., Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms. Comput. Vis. Image Underst. 117, 1512–1525 (2013)
P. Grother et al., IREX I: performance of iris recognition algorithms on standard images (NIST Interagency Report 7629, in PoLAR (2009)
K. Hollingsworth, K. Bowyer, P.J. Flynn, Pupil dilation degrades iris biometric performance. Comput. Vis. Image Underst. 113(1), 150–157 (2009)
G. of India, Unique Identification Authority of India
A.W.K. Kong, D. Zhang, M.S. Kamel, An analysis of IrisCode. IEEE Trans. Image Process. 19(2), 522–532 (2010)
A.J. Mansfield, J.L. Wayman, Best practices in testing and reporting performance of biometric devices ver 2.01. Natl. Phys. Lab. 14(02), 1–36 (2002)
J.R. Matey et al., Iris on the move: acquisition of images for iris recognition in less constrained environments. Proc. IEEE 94(11), 1936–1947 (2006)
D. Mathieson, R. Wager, Somaliland national election commission: report on the preparation of the voting register (2010)
NeuroTechnology, VeriEye SDK
G.P. et al., IREX VI: Temporal stability of iris recognition accuracy (NIST Interagency Report 7948), in PoLAR (2013)
P.J. Phillips et al., FRVT 2006 and ICE 2006 large-scale experimental results. IEEE Trans. Pattern Anal. Mach. Intell. 32(5), 831–846 (2010)
A.N. Al-Raisi, A.M. Al-Khouri, Iris recognition and the challenge of homeland and border control security in UAE. Telemat. Inform. 25(2), 117–132 (2008)
C. Rathgeb, A. Uhl, P. Wild, USIT—University of Salzburg Iris-Toolkit
N. Sazonova et al., A study on quality-adjusted impact of time lapse on iris recognition, in SPIE 8371B: Biometric Technology for Human Identification (2012)
J.A. Scallan, S. Weimer, Overview of the multiple biometrics grand challenge, in Advances in Biometrics, ed. by M. Tistarelli, M. Nixon, vol. 5558 (Springer, Berlin/Heidelberg, 2009), pp. 705–714
N. I. of Standards and T. (NIST), IREX: IRis EXchange
G. Sutra et al., A biometric reference system for iris: OSIRIS version 4.1
Technavio, Global Iris Recognition Market: 2015–2019 (2015)
S. Venugopalan, M. Savvides, How to generate spoofed irises from an iris code template. IEEE Trans. Inf. Forensics Secur. 6, 385–394 (2011)
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Bowyer, K.W., Burge, M.J. (2016). Introduction to the Handbook of Iris Recognition. In: Bowyer, K., Burge, M. (eds) Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6784-6_1
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DOI: https://doi.org/10.1007/978-1-4471-6784-6_1
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