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Handbook of Iris Recognition pp 183–204Cite as

Robust and Secure Iris Recognition

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Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

Iris biometric entails using the patterns on the iris as a biometric for personal authentication. It has additional benefits over contact-based biometrics such as fingerprints and hand geometry. However, iris biometric often suffers from the following three challenges: ability to handle unconstrained acquisition, privacy enhancement without compromising security, and robust matching. This chapter discusses a unified framework based on sparse representations and random projections that can address these issues simultaneously. Furthermore, recognition from iris videos as well as generation of cancelable iris templates for enhancing the privacy and security is also discussed.

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References

  1. Baraniuk, R.: Compressive sensing. IEEE Signal Process. Mag. 24(4), 118–121 (2007)

    Article  Google Scholar 

  2. Blanchard, J.D., Cartis, C., Tanner, J.: The restricted isometry property and ℓ q -regularization: phase transition for sparse approximation (preprint)

    Google Scholar 

  3. Bolle, R.M., Connel, J.H., Ratha, N.K.: Biometrics perils and patches. Pattern Recognit. 35(12), 2727–2738 (2002)

    Article  MATH  Google Scholar 

  4. Bowyer, K.W., Flynn, P.J.: The ND-IRIS-0405 iris image dataset

    Google Scholar 

  5. Bowyer, K.W., Hollingsworth, K., Flynn, P.J.: Image understanding for iris biometrics: a survey. Comput. Vis. Image Underst. 110(2), 281–307 (2008)

    Article  Google Scholar 

  6. Candes, E., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489–509 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  7. Candes, E., Romberg, J., Tao, T.: Stable signal recovery from incomplete and inaccurate measurements. Commun. Pure Appl. Math. 59, 1207–1223 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chen, Y., Dass, S.C., Jain, A.K.: Localized iris image quality using 2-d wavelets. In: Proceedings of International Conference on Biometrics, Hong Kong. Springer Lecture Notes in Computer Science, vol. 3832, pp. 373–381 (2006)

    Article  Google Scholar 

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

    Article  Google Scholar 

  10. Davida, G.I., Frankel, Y., Matt, B.J.: On enabling secure applications through off-line biometric identification. In: IEEE Symposium on Security and Privacy, Oakland, pp. 148–157 (1998)

    Google Scholar 

  11. Donoho, D.L.: High-dimensional centrally symmetric polytopes with neighborliness proportional to dimension. Discret. Comput. Geom. 35(4), 617–652 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  12. Du, Y.: Using 2d log-gabor spatial filters for iris recognition. SPIE Biometric Technology for Human Identification III 62020, (2006)

    Google Scholar 

  13. Hao, F., Anderson, R., Daugman, J.: Combining crypto with biometrics effectively. IEEE Trans. Comput. 55(9), 1081–1088 (2006)

    Article  Google Scholar 

  14. Hollingsworth, K.P., Bowyer, K.W., Flynn, P.J.: Image averaging for improved iris recognition. Lect. Notes Comput. Sci. 5558, 1112–1121 (2009)

    Article  Google Scholar 

  15. Jain, A.K., Nandakumar, K., Nagar, A.: Biometric template security. EURASIP J. Adv. Signal Process. Spec. Issue Biom. 2008(113), 1–17 (2008)

    Article  Google Scholar 

  16. Juels, A., Wattenberg, M.: A fuzzy commitment scheme. In: ACM Conference on Computers and Communications Security, Singapore, pp. 28–36 (1999)

    Google Scholar 

  17. Kanade, S., Petrovska-Delacretaz, D., Dorizzi, B.: Cancelable iris biometrics and using error correcting codes to reduce variability in biometric data. Comput. Vis. Pattern Recognit. (2009)

    Google Scholar 

  18. Krichen, E., Allano, L., Garcia-Salicetti, S., Dorizzi, B.: Specific texture analysis for iris recognition. Lect. Notes Comput. Sci. 3546, 23–30 (2005). Springer, Heidelberg

    Google Scholar 

  19. Liu, C., Xie, M.: Iris recognition based on DLDA. In: International Conference on Pattern Recognition, Hong Kong, pp. 489–492 (2006)

    Google Scholar 

  20. Ma, L., Tan, T., Wang, Y., Zhang, D.: Efficient iris recognition by characterizing key local variations. IEEE Trans. Image Process. 13(6), 739–750 (2004)

    Article  Google Scholar 

  21. Masek, L., Kovesi, P.: Matlab source code for a biometric identification system based on iris patterns (2003)

    Google Scholar 

  22. Newton, E.M., Phillips, P.J.: Meta-analysis of third-party evaluations of iris recognition. IEEE Trans. Syst. Man Cybern. 39(1), 4–11 (2009)

    Article  Google Scholar 

  23. Phillips, P.J.: Frgc and ice workshop (2006)

    Google Scholar 

  24. Phillips, P.J., Flynn, P.J., Beveridge, J.R., Scruggs, W.T., O’Toole, A.J., Bolme, D.S., Bowyer, K.W., Draper, B.A., Givens, G.H., Lui, Y.M., Sahibzada, H., Scallan, J.A., Weimer, S.: Overview of the multiple biometrics grand challenge. In: The Third IAPR/IEEE Conference on Biometrics, Alghero (2009)

    Google Scholar 

  25. Pillai, J.K., Patel, V.M., Chellappa, R.: Sparsity inspired selection and recognition of iris images. In: Third IEEE International Conference on Biometrics – Technology and Systems, Alghero (2009)

    Google Scholar 

  26. Pillai, J.K., Patel, V.M., Chellappa, R., Ratha, N.K.: Secure and robust iris recognition using random projections and sparse representations. To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence

    Google Scholar 

  27. Pillai, J.K., Patel, V.M., Chellappa, R., Ratha, N.K.: Sectored random projections for cancelable iris biometrics. In: International Conference on Acoustics, Speech, and Signal Processing, Taipei (2009)

    Google Scholar 

  28. Ratha, N.K., Connel, J.H., Bolle, R.: Enhancing security and privacy in biometrics-based authentication systems. IBM Syst. J. 40(3), 614–634 (2001)

    Article  Google Scholar 

  29. Rauhut, H., Schnass, K., Vandergheynst, P.: Compressed sensing and redundant dictionaries. IEEE Trans. Inf. Theory 54(5), 2210–2219 (2008)

    Article  MathSciNet  Google Scholar 

  30. Roy, K., Bhattacharya, P.: Iris recognition with support vector machines. In: International Conference on Biometrics, Hong Kong, pp. 486–492 (2006)

    Google Scholar 

  31. Schmid, N.A., Ketkar, M.V., Singh, H., Cukic, B.: Performance analysis of iris based identification system at the matching score level. IEEE Trans. Inf. Forensics Secur. 1(2), 154–168 (2006)

    Article  Google Scholar 

  32. Specification of CASIA Iris Image Database (ver 1.0), Chinese Academy of Sciences. http://www.nlpr.ia.ac.cn/english/irds/irisdatabase.htm. (2007)

  33. Teoh, A., Goh, A., Ngo, D.: Random multispace quantization as an analytic mechanism for biohashing of biometric and random identity inputs. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 1892–1901 (2006)

    Article  Google Scholar 

  34. West virginia university iris dataset

    Google Scholar 

  35. Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2), 210–227 (2009)

    Article  Google Scholar 

  36. Zuo, J., Ratha, N., Connell, J.: Cancelable iris biometric. In: Proceedings of International Conference on Pattern Recognition, Tampa, pp. 1–4 (2008)

    Google Scholar 

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Acknowledgements

This work was partially supported by a MURI grant N00014-08-1-0638 from the Office of Naval Research.

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Authors and Affiliations

  1. University of Maryland, College Park, MD, USA

    Jaishanker K. Pillai, Vishal M. Patel & Rama Chellappa

  2. IBM Watson Research Center, Hawthorne, NY, USA

    Nalini K. Ratha

Authors
  1. Jaishanker K. Pillai
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  2. Vishal M. Patel
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  3. Rama Chellappa
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  4. Nalini K. Ratha
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Corresponding author

Correspondence to Jaishanker K. Pillai .

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Editors and Affiliations

  1. MITRE Corporation, Colshire Drive 7515, McLean, 22102-7539, Virginia, USA

    Mark J. Burge

  2. , Department of Computer Science and Engin, University of Notre Dame, Fitzpatrick Hall 384, Notre Dame, 46556-5637, Indiana, USA

    Kevin W. Bowyer

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Pillai, J.K., Patel, V.M., Chellappa, R., Ratha, N.K. (2013). Robust and Secure Iris Recognition. In: Burge, M., Bowyer, K. (eds) Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-4402-1_10

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  • DOI: https://doi.org/10.1007/978-1-4471-4402-1_10

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4401-4

  • Online ISBN: 978-1-4471-4402-1

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