Abstract
This paper presents a smart identification card system using facial biometric information for identity authentification. For a trade-off between the security and the cost, this system utilizes an architecture containing three security levels of identity authentification, “manual face verification offline”, “manual face verification online” and “automatic (biometric) face verification”, which satisfy the different security requirements of various applications of identification cards. For the function of “manual face verification online”, we bring out an idea based on decomposing the face image into two parts which are stocked into the card and the database of system respectively. And for the function of “automatic face verification”, we proposed a novel face verification scheme based on class-specific face models. The technique Active Appearance Model is applied, as the way of face modelling, to realize the proposed scheme. A prototype application of such system, which contains a fix version for PC and a mobile version for Pocket PC, is also introduced in this paper.
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References
Lu, X.: Image Analysis for Face Recognition, personal notes (2003)
Turk, M.A., Pentland, A.P.: Eigenfaces for Recognition. Journal of Cognitive Neurosicence 3(1), 71–86 (1991)
Hyvarinen, A.: Survey On Independent Component Analysis. Neural Computing Surveys 2, 94–128 (1999)
Etemad, K., Chellappa, R.: Discriminant Analysis for Recognition of Human Face Images. Journal of the Optical Society of America A 14(8), 1724–1733 (1997)
Scholkopf, B., Smola, A., Muller, K.: Nonlinaer Component Analysis as a Kernel Eigenvalue Problem. Neural Computation 10(5), 1299–1319 (1998)
Kanade, T.: Picture Processing System by Computer and Recognition of Human Faces, PhD. Thesis, Kyoto University (1973)
Wiskott, L., Fellous, J.M., Kruger, N., Malsburg, C.V.D.: Face Recogniton by Elastic Bunch Graph Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 19(7), 775–779 (1997)
Lades, M., Vorbruggen, J.C., Buhmann, J., Lange, J., Malsburg, C.V.D., Wurtz, R.P., Konen, W.: Distortion Invariant Object Recognition In the Dynamic Link Architecture. IEEE Transations on Computers 42(3), 300–311 (1993)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active Appearance Models. In: Proc. of European Conference on Computer Vision, vol. 2, pp. 484–498 (1998)
Blanz, V., Vetter, T.: A Morphable Model for the Synthesis of 3d Faces. In: Proc. of SIGGRAPH, pp. 187–194 (1999)
Chen, L., Peng, K., Liu, X.: Smart Identification Card, PCT/FR200400685, France (2004)
Peng, K., Chen, L., Ruan, S.: A Novel Scheme of Face Verification Using Active Appearance Models. In: Proc. of IEEE Conference on Advanced Video and Signal based Surveillance (AVSS 2005), pp. 247–252 (2005)
Peng, K., Chen, L., Ruan, S., Kukharev, G.: A Robust and Efficient Algorithm for Eye Detection On Gray Intensity Face. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds.) ICAPR 2005. LNCS, vol. 3687, pp. 302–308. Springer, Heidelberg (2005)
Stegmann, M.B., Ersboll, B.K., Larsen, A.R.: Fame - a Flexible Appearance Modeling Environment. IEEE Transaction on Medical Imaging 22(10), 1319–1331 (2003)
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Peng, K., Chen, L., Ruan, S. (2006). A Smart Identification Card System Using Facial Biometric: From Architecture to Application. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.JP. (eds) Ubiquitous Intelligence and Computing. UIC 2006. Lecture Notes in Computer Science, vol 4159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11833529_7
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DOI: https://doi.org/10.1007/11833529_7
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