Abstract
This paper presents a novel fusion strategy for personal identification using face and palmprint biometrics. In the context of biometrics, three levels of information fusion schemes have been suggested: feature extraction level, matching score level and decision level. This work considers the first level fusion scheme. The purpose of our paper is to investigate whether the integration of face and palmprint biometrics can achieve higher performance that may not be possible using a single biometric indicator alone. Both Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are considered in this feature vector fusion context. We compare the results of the combined biometrics with the results of the individual face and palmprint. It is found that the performance is significantly improved in both cases, especially in the case of feature fusion using ICA obtaining encouraging results with a 99.17% recognition accuracy rate using a test set sized of 40 people.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jain, A.K., Bolle, R., Pankanti, S. (eds.): Biometrics: Personal Identification in Networked Society. Kluwer Academic, Dordrecht (1999)
Zhao, W., Chellappa, R., Rosefeld, A., Phillips, P.J.: Face Recognition: A Literature Survey. Technical report, Computer Vision Lab, University of Maryland (2000)
Ross, R., Jain, A.K.: Information Fusion in Biometrics. Pattern Recognition Letters 24(13), 2115–2125 (2003)
Hong, L., Jain, A.K.: Integrating Faces and Fingerprints for Personal Identification. IEEE Trans. Pattern Anal. Mach. Intell. 20(12), 1295–1307 (1998)
Wang, Y.H., Tan, T., Jain, A.K.: Combining Face and Iris Biometrics for Identity Verification. In: Proc. of 4th Int’l Conf. on Audio- and Video-Based Biometric Person Authentication, Guildford, UK, June 2003, pp. 805–813 (2003)
Kumar, A., Wong, D.C.M., Shen, H.C., Jain, A.K.: Personal Verification Using Palmprint and Hand Geometry Biometric. In: Proc. of 4th Int’l Conf. on Audioand Video-Based Biometric Person Authentication, Guildford, UK, June 2003, pp. 668–675 (2003)
Chang, K., Bowyer, K.W., Sarkar, S., Victor, B.: Comparison and Combination of Ear and Face Images in Appearance-based Biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1160–1165 (2003)
Zhang, D., Kong, W.K., You, J., Wong, M.: Online Palmprint Identification. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1041–1050 (2003)
Turk, M., Pentland, A.: Eigenfaces for Recognition. J. of Cognitive Neuroscience 3(1), 71–86 (1991)
Hong, Z.: Algebraic Feature Extraction of Image for Face Recognition. Pattern Recognition 24, 211–219 (1991)
Guo, G.D., Li Stan, Z., Chan, K.L.: Support Vector Machines for Face Recognition. Image and Vision Computing 19, 631–638 (2001)
Yuen, P.C., Lai, J.H.: Face Representation Using Independent Component Analysis. Pattern Recognition 35, 1247–1257 (2002)
Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face Recognition by Independent Component Analysis. IEEE Trans. Neural Network 13(6), 1450–1464 (2002)
Lu, G.M., Zhang, D., Wang, K.Q.: Palmprint Recognition Using Eigenpalms Features. Pattern Recognition Letters 24, 1463–1467 (2003)
Kumar, A., Zhang, D.: Integrating Palmprint with Face for User Authentication. In: Proc. of Multi Modal User Authentication Workshop, Santa Barbara, CA, USA, December 2003, pp. 107–112 (2003)
Wu, X.Q., Zhang, D., Wang, K.Q.: Fisherpalms Based Palmprint Recognition. Pattern Recognition Letters 24, 2829–2838 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Feng, G., Dong, K., Hu, D., Zhang, D. (2004). When Faces Are Combined with Palmprints: A Novel Biometric Fusion Strategy. 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_95
Download citation
DOI: https://doi.org/10.1007/978-3-540-25948-0_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
eBook Packages: Springer Book Archive