Abstract
We present a novel approach to generating cryptographic keys from biometrics. In our approach, the PCA coefficients of a face image are discretised using a bit-extraction method to n bits. We compare performance results obtained with and without the discretisation procedure applied to several PCA-based methods (including PCA, PCA with weighing coefficients, PCA on Wavelet Subband, and LDA) on a combined face image database. Results show that the discretisation step consistently increases the performance.
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References
Monrose, F., Reiter, M.K., Wetzel, S.: Password Hardening Based on Keystroke Dynamics. In: Proceedings of the 6th ACM Conference on Computer and Communications Security, Singapore, pp. 73–82 (1999)
Davida, G.I., Frankel, Y., Matt, B.J.: On Enabling Secure Applications through Offline Biometric Identification. In: Proceedings of the 1998 IEEE Symposium on Security and Privacy, Oakland, California, pp. 148–157 (1998)
Daugman, J.: High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE Transactions on Pattern Analysis and Machine Intelligence 15, 1148–1161 (1993)
Soutar, C., Roberge, D., Stoianov, A., Gilroy, R., Kumar, B.V.: Biometric Encryption. In: Nichols, R.K. (ed.) ICSA Guide to Cryptography, pp. 649–675. McGraw-Hill, New York (1999)
Goh, A., Ngo, D.C.L.: Computation of Cryptographic Keys from Face Biometrics. In: Lioy, A., Mazzocchi, D. (eds.) CMS 2003. LNCS, vol. 2828, pp. 1–13. Springer, Heidelberg (2003)
Wallace, G.: The JPEG Still Picture Compression Standard. Communications of the ACM 34(4), 30–44 (1991)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)
Swets, D.L., Weng, J.J.: Using Discriminant Eigenfeatures for Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(8), 831–836 (1996)
Feng, G.C., Yuen, P.C., Dai, D.Q.: Human Face Recognition Using PCA on Wavelet Subband. Journal of Electronic Imaging 9(2), 226–233 (2000)
Yambor, W., Draper, B., Beveridge, R.: Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures. In: Proceedings of the 2nd Workshop on Empirical Evaluation in Computer Vision, Dublin, Ireland (2000)
Database of Faces, AT&T Laboratories, Cambridge University, UK. Available: http://www.uk.research.att.com/facedatabase.html
Face Database, Vision Group, University of Essex, UK. Available: http://hp1.essex.ac.uk/
Daubechies, I.: The Wavelet Transform, Time-Frequency Localization and Signal Analysis. IEEE Transactions on Information Theory 36(5), 961–1005 (1990)
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Ngo, D.C.L., Teoh, A.B.J., Goh, A. (2004). Eigenspace-Based Face Hashing. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_27
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DOI: https://doi.org/10.1007/978-3-540-25948-0_27
Publisher Name: Springer, Berlin, Heidelberg
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