Abstract
This paper presents a novel dynamic face and fingerprint fusion system for identity authentication. To solve the face pose problem in dynamic authentication system, multi-route detection and parallel processing technology are used in this system. A multimodal part face recognition method based on principal component analysis (MMP-PCA) algorithm is adopted to perform the face recognition task. Fusion of face and fingerprint by SVM (Support Vector Machine) fusion strategy which introduced a new normalization method improved the accuracy of identity authentication system. Furthermore, key techniques such as fast and robust face detection algorithm and dynamic fingerprint detection and recognition method based on gray-Level histogram statistic are accepted to guarantee the fast and normal running. Practical results on real database proved that this authentication system can achieve better results compared with face-only or fingerprint-only system. Consequently, this system indeed increases the performance and robustness of identity authentication systems and has more practicability.
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References
Jain, A.K., Bolle, R., Pamkanti, S. (eds.): Biometrics: Personal Identification in Networked Society, Norwell, Mass. Kluwer Academic Publishers, Dordrecht (1999)
Hong, L., Jain, A.: Integrating Faces and Fingerprints for Personal Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(12), 1295–1307 (1998)
Ben-Yacoub, S., et al.: Fusion of Face and Speech Data for Person Identity Verification. IEEE Transactions on Neural Networks 10(5), 1065–1074 (1999)
Yunhong, W., Tieniu, T.: Combining Face and Iris Biometrics for Identity Verification. In: Proceedings of the Conference on Audio- and Video-Based Biometric Person Authentication, pp. 805–813 (2003)
Du, C., Su, G.: Face Pose Estimation Based on Eigenspace Analysis and Fuzzy Clustering. In: IEEE International Symposium on Neural Networks (2004)
Yafeng, D., Guangda, S., Jun, Z., Bo, F.: Fast and Robust Face Detection in Video. In: Proceeding of International Conference on Machine Learning and Cybernetics (August 2005)
Su, G., Zhang, C., Ding, R., Du, C.: MMP-PCA face recognition method. Electronic Letters 38(25), December 5 (2002)
Ruke, H.: Research on the Multi-Hierarchical Algorithm for Fast Fingerprint Recognition. Bachelor thesis of Tsinghua University (2002)
Theodoridis, S., Koutroumbas, K.: Pattern Recognition. Elsevier Science, Amsterdam (2003)
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Zhou, J., Su, G., Deng, Y., Meng, K., Li, C. (2005). A Dynamic Face and Fingerprint Fusion System for Identity Authentication. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_113
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DOI: https://doi.org/10.1007/11596981_113
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30819-5
Online ISBN: 978-3-540-31598-8
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