Abstract
The optimization of a smart card face verification system is a very complex process with many key factors to consider. It involves the investigation of the effect the system parameters have on the system performance measured in terms of accuracy and speed. As the parameters involved are not independent, the search space is of exponential complexity. In practice only partial optimization is feasible with many parameters forced to take default values. We argue that the key options to optimize are image resolution or/and image pre-processing. In addition the main design issue is the degree of compression that can be applied to the probe image before it is transmitted to the smart card. In this work we investigate different optimization strategies by considering both image compression and image resolution, and demonstrate that both the system performance and speed of access can be improved by the jointly optimized parameter setting and the level of probe compression. The experimental results obtained on the XM2VTS database suggest that the choice of one strategy over another is a matter of the time available for the system design, system performance, and response time.
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References
Biometric Solutions Incorporated: White paper: Why use a biometric and a card in the same device. http://www.biometricsolutions.com (2002)
Bistarelli, S., Santini, F., Vaccarelli, A.: An asymmetric fingerprint matching algorithm for java card. In: 5th International Conference, AVBPA 2005, New York, pp. 279–288 (2005)
Bourlai, T., Kittler, J., Messer, K.: Database size effects on performance on a smart card face verification system. In: Proceedings of the International Conference on Automatic Face and Gesture Recognition, FG2006, 10–12 April 2006
Bourlai, T., Messer, K., Kittler, J.: Face verification system architecture using smart cards. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, 23–26 August 2004
Bourlai, T., Messer, K., Kittler, J.: Performance versus computational complexity trade-off in face verification. In: Proceedings of the International Conference on Biometric Authentication, ICBA 2004, 15–17 July 2004
Bourlai, T., Messer, K., Kittler, J.: Scenario based performance optimisation in face verification using smart cards. AVBPA 2005, 22–25 July 2005
Cai D., He X.F., Han J.W., Zhang H.-J.: Orthogonal laplacianfaces for face recognition. IEEE Trans. Image Process 15(11), 3608–3614 (2006)
Carr, M.R.: Smart card technology with case studies. Security technology. In: Proceedings of the 36th Annual 2002 International Carnahan Conference on Security Technology, pp. 158–159, October 2002
Chen, H.-T., Chang, H.-W., Liu, T.-L.: Local discriminant embedding and its variants. CVPR 2005, vol. 2, pp. 846–853 (2005)
Cooper, D., Dang, H., Lee, P., MacGregor, W., Mehta, K.: Secure biometric match-on-card feasibility report. Technical Report. National Institute of Standards and Technology. Published as NIST Interagency Report 7452, November 2007
Czajka, A., Strzelczyk, P., Chochowski, M., Pacut, A.: Iris recognition with match-on-card. In: 15th European Signal Processing Conference, September 2007
Czyz, J., Bengio, S., Marchel, C., Vanderdorpe, L.: Scalability analysis of audio-visual person identity verification. In: 4th International Conference, AVBPA 2003, Guildford, UK, pp. 752–760, June 2003
Czyz, J., Vandendorpe, L.: Evaluation of lda-based face verification with respect to available computational resources. In: Int’l Workshop on Pattern Recognition in Information Systems (2002)
Deravi, F., Fairhurst, M.C., Ng, M.W.R., Gil, S., et al.: Report on biometric evaluation and system review of the finger card project. Research Report IST-2000-25168/D10.1/1.0, IST, European Union (2002)
European Commission JRC/IPTS: Biometrics at the frontiers: assessing the impact on society. Technical Report for the European Parliament Committee on Citizens’ Freedoms and Rights, Justice and Home Affairs (LIBE) (2005)
European Council: Council regulation (EC) no 2252/2004 of 13 December 2004 on standards for security features and biometrics in passports and travel documents issued by member states. EU (December 2004). http://europa.eu.int/ (2004)
Flammang, M., Schmitz, P-E., Huijgens, R.: Trend report: biometrics in europe. UNISYS, European Biometrics Portal, pp. 12–13, 16–19 (2007)
Grother, P., Salamon, W., Watson, C., Indovina, M., Flanagan, P.: Minex ii: performance of fingerprint match-on-card algorithms. Phase II Report. NIST Interagency Report 7477 (2008)
HITACHI: Research and development. Hitachi Technology R&D Report (2007–2008)
Jain, A.K., Nandakumar, K., Nagar, A.: Biometric template security. EURASIP J. Adv. Signal Process., Hindawi Publishing Corporation, 17 (2008)
Jain A.K., Pankanti S.: A touch of money. IEEE Spectr. 3(7), 22–27 (2006)
Kumar, P.Y., Ganesh, T.S.: Integration of smart card and gabor filter method based fingerprint matching for faster verification. INDICON, 2005 Annual IEEE, pp. 526–529, December 2005
Li, Y.P.: Linear discriminant analysis and its application to face identification. Ph.D. thesis, University of Surrey (2000)
Li, Y.P., Kittler, J., Matas, J.: Face verification using client specific fisher faces. In: Kent, J.T., Aykroyd, R.G. (eds.) Proceedings of the International Conference on the Statistics of Directions, Shapes and Images, pp. 63–66, September 2000
Messer, K., Matas, J., Kittler, J., Luettin, J., Maitre, G.: Xm2vtsdb: the extended m2vts database. AVBPA, pp. 72–77, March 1999
Moon H., Phillips P.J.: Analysis of PCA-based face recognition algorithms. In: Bowyer, K.W., Phillips, P.J. (eds) Empirical Evaluation Techniques in Computer Vision, pp. 57–71. IEEE Computer Science Press, New York (1998)
Moon H., Phillips P.J.: Computational and performance aspects of PCA-based face-recognition algorithms. Perception 30, 303–321 (2001)
Naumann, I., Hogben, G.: Privacy features of European eid card specifications. European Network and Information Security Agency (ENISA). Originally appeared in the Elesevier Network Security Newsletter, ISSN 1353-485, pp. 9–13 (2008)
NIST: Federal information processing standard (FIPS) 201-1. NIST, Personal Identity Verification (PIV) of Federal Employees and Contractors (2006)
Noore A.: Highly robust biometric smart card. IEEE Trans. Consum. Electron 46(4), 1059–1063 (2000)
Oman, H.: Conference report: Security Technology. In: The 36th International Carnahan Conference on Security Technology. In: IEEE AESS Systems Magazine, pp. 28–40, April 2003
Osborne, M., Ratha, N.K.: A JC-BIOAPI compliant smart card with biometrics for secure access control. In: 4th International Conference, AVBPA. Guildford, UK, pp. 903–910, June 2003
Sanchez-Reillo R.: Securing information and operations in a smart card through biometrics. IEEE Aerosp. Electron Syst. Mag. 16(4), 3–6 (2001)
Sanchez-Reillo, R.: Including biometric authentication in a smart card operating system. In: Proceedings of the 3rd International Conference on Audio and Video-based Biometric Person Authentication (AVBPA). Halmstad, Suecia, pp. 342–347, 6–8 June 2001
Sanchez-Reillo, R., Mengibar-Pozo, L., Sanchez-Avila, C.: Microprocessor smart cards with fingerprint used authentication. IEEE AESM, pp. 22–24, March 2003
Sanchez-Reillo, R., Sanchez-Avila, C.: Iris recognition with low template size. In: Proceedings of the 3rd International Conference on Audio and Video-based Biometric Person Authentication (AVBPA). Halmstad, Suecia, pp. 324–329, 6–8 June 2001
Sanchez-Reillo R., Sanchez-Avila C.: Fingerprint verification using smart cards for access control systems. IEEE Aerosp. Electron Syst. Mag. 17(9), 12–15 (2002)
Schouten, B.A.M., Tangelder, J.W.H.: Non-intrusive face verification by a virtual mirror interface using fractal codes. In: CD-ROM Proceedings Biometrics on the Internet—Third COST 275 Workshop (2005)
Seto, Y.: Development of personal authentication systems using fingerprint with smart cards and digital signature technologies. In: 7th International Conference on Control, Automation, Robotics and Vision (ICARCV 2002), vol. 2, pp. 996–1001, December 2002
Short, J., Kittler, J., Messer, K.: Photometric normalisation for face verification. AVBPA (2005)
Struif, B.: Use of biometrics for user verification in electronic signature smartcards. In: Proceedings of the International Conference on Research in Smart Cards (E-smart): Smart Card Programming and Security—Cannes, Frankreich, pp. 220–228, September 2001
Swets D., Weng J.: Using discriminant eigenfeatures for image retrieval. PAMI 18(8), 831–836 (1996)
Turk M., Pentland A.: Eigenfaces for recognition. Cogn. Neurosci. IEEE PAMI 3(1), 71–86 (1991)
USA Department of Homeland Security: Twic reader hardware and card application specification. Department of Homeland Security Transportation Security Administration Transportation Threat Assessment and Credentialing Office 601 S. 12th Street Arlington, VA 22202, 28 March 2008
Walczowski, L.T., Deravi, F.: Training in the use of java smart cards for embedded applications. ICECS 2001, pp. 729–732, September 2001
Yambor W.S., Draper B.A., Beveridge J.R.: Analysing PCA-based face recognition algorithms: eigenvector selection and distance measures. In: Christensen, H., Phillips, J. (eds) Empirical Evaluation Methods in Computer Vision, World Scientific, Singapore (2002)
Zhao, W., Phillips, P.J., Chellappa, R., Rosenfeld, A.: Face recognition: a literature survey. ACM Comput. Surv., 399–458 (2003)
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Bourlai, T., Kittler, J. & Messer, K. On design and optimization of face verification systems that are smart-card based. Machine Vision and Applications 21, 695–711 (2010). https://doi.org/10.1007/s00138-009-0187-x
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DOI: https://doi.org/10.1007/s00138-009-0187-x