Non-invertible and revocable iris templates using key-dependent wavelet transforms
Pages 105 - 110
Abstract
A technique to generate non-invertible and revocable iris templates is proposed employing key-dependent wavelet transforms. In particular, parametrised wavelet-filters and wavelet packets are used in feature extraction in replacement of a pyramidal D4 wavelet transform. Since the template generation process is non-invertible by design, the overall scheme is non-invertible as well. Recognition accuracy is found to be high as long as personal tokens remain secret, templates can be revoked by simply exchanging the wavelet transform applied in the feature extraction process.
References
[1]
R. Cappelli, A. Lumini, D. Maio, and D. Maltoni. Fingerprint image reconstruction from standard templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(9):1489--1503, 2007.
[2]
A. Cohen and N. Dyn. Nonstationary subdivisions schemes and multiresolution analysis. SIAM Journal of Mathematical Analysis, 27(6):1745--1769, Nov. 1996.
[3]
W. Dietl, P. Meerwald, and A. Uhl. Protection of wavelet-based watermarking systems using filter parametrization. Signal Processing (Special Issue on Security of Data Hiding Technologies), 83(10):2095--2116, Oct. 2003
[4]
D. Engel, T. Stütz, and A. Uhl. Assessing JPEG2000 encryption with key-dependent wavelet packets. EURASIP Journal on Information Security, 2012(2), 2012.
[5]
Z. Erkin, M. Franz, J. Guajardo, S. Katzenbeisser, I. Lagendijk, and T. Toft. Privacy-preserving face recognition. In I. Goldberg and M. Atallah, editors, Proceedings of Privacy Enhancing Technologies (PETS'09), volume 5672 of LNCS, pages 235--253. Springer Verlag, 2009.
[6]
J. Feng and A. Jain. Fingerprint reconstruction: From minutiae to phase. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(2):209,223, 2011.
[7]
J. Galbally, A. Ross, M. Gomez-Barrero, J. Fierrez, and J. Ortega-Garcia. From the iriscode to the iris: A new vulnerability of iris recognition systems, 2012. Briefings-Talk at blackhat USA 2012, http://media.blackhat.com/bh-us-12/Briefings/Galbally/BH_US_12_Galbally_Iris_Reconstruction_WP.pdf.
[8]
O. Gerek and A. Cetin. Polyphase adaptive filter banks for fingerprint image compression. Electronics Letters, 34:1931?--1932, Oct. 1998.
[9]
M. Gomez-Barrero, J. Galbally, P. Tome, and J. Fierrez. On the vulnerability of iris-based systems to a software attack based on a genetic algorithm. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, volume 7441 of Lecture Notes on Computer Science, pages 114--121, Berlin, Heidelberg, 2012. Springer-Verlag.
[10]
M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, and A. Vécsei. Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps. Pattern Recognition, 42(6):1180--1191, Sept. 2008.
[11]
J. Hämmerle-Uhl, E. Pschernig, and A. Uhl. Cancelable iris-templates using key-dependent wavelet transforms. In Proceedings of the 6th IAPR/IEEE International Conference on Biometrics (ICB'13), Madrid, Spain, June 2013. To appear.
[12]
A. K. Jain, K. Nandakumar, and A. Nagar. Biometric template security. EURASIP Journal Adv. Signal Process, 2008:1--17, 2008.
[13]
G. Laimer and A. Uhl. Key dependent JPEG2000-based robust hashing for secure image authentication. EURASIP Journal on Information Security, Article ID 895174: 19 pages, 2008.
[14]
L. Ma, T. Tan, Y. Wang, and D. Zhang. Efficient iris recognition by characterizing key local variations. IEEE Transactions on Image Processing, 13(6):739--750, June 2004.
[15]
B. Mühlbacher, T. Stütz, and A. Uhl. JPEG2000 Part 2 wavelet packet subband structures in fingerprint recognition. In P. Frossard, H. Li, F. Wu, B. Girod, S. Li, and G. Wei, editors, Visual Communications and Image Processing 2010 (VCIP'10), number 7744 in Proceedings of SPIE, pages 77442C'1--77442C'10, Huang Shan, China, July 2010. SPIE.
[16]
N. Ratha, J. Connell, and R. Bolle. Enhancing security and privacy in biometrics-based authentication systems. IBM Systems Journal, 40(3):614--634, Apr. 2001.
[17]
C. Rathgeb and A. Uhl. Attacking iris recognition: An effcient hill-climbing technique. In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pages 1217--1220, Istanbul, Turkey, 2010.
[18]
C. Rathgeb and A. Uhl. A survey on biometric cryptosystems and cancelable biometrics. EURASIP Journal on Information Security, 2011(3), 2011.
[19]
C. Roberts. Biometric attack vectors and defenses. Computers & Security, 26:14--25, 2007.
[20]
A. Ross, J. Shah, and A. K. Jain. From template to image: Reconstructing fingerprints from minutiae points. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4):544--560, 2007.
[21]
J. Schneid and S. Pittner. On the parametrization of the coefficients of dilation equations for compactly supported wavelets. Computing, 51:165--173, May 1993.
[22]
B. Sy. Secure computation for privacy preserving biometric data retrieval and authentication. In D. Ortiz-Arroyo et al., editors, Intelligence and Security Informatics, volume 5376 of LNCS, pages 143--154. Springer Verlag, 2008.
[23]
S. Venugopalan and M. Savvides. How to generate spoofed irises from an iris code template. IEEE Transactions of Information Forensics and Security, 6:385--394, 2011.
[24]
M. Wickerhauser. Adapted wavelet analysis from theory to software. A.K. Peters, Wellesley, Mass., 1994.
[25]
Y. Zhu, T. Tan, and Y. Wang. Biometric personal identification based on iris patterns. In Proceedings of the 15th International Conference on Pattern Recognition (ICPR'00), volume 2, pages 2801--2804. IEEE Computer Society, 2000.
[26]
H. Zou and A. H. Tewfik. Parametrization of compactly supported orthonormal wavelets. IEEE Transactions on Signal Processing, 41(3):1423--1431, Mar. 1993.
Index Terms
- Non-invertible and revocable iris templates using key-dependent wavelet transforms
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Published In
June 2013
242 pages
ISBN:9781450320818
DOI:10.1145/2482513
- General Chair:
- William Puech,
- Program Chairs:
- Marc Chaumont,
- Jana Dittmann,
- Patrizio Campisi
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Published: 17 June 2013
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IH&MMSec '13
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IH&MMSec '13: ACM Information Hiding and Multimedia Security Workshop
June 17 - 19, 2013
Montpellier, France
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IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;
Overall Acceptance Rate 128 of 318 submissions, 40%
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