Abstract
Widespread application of biometric authentication brings about new problem of privacy. Biometric template protection is becoming a hot research. Efficient feature fusion is deemed to have good performance possibly. In this paper we proposed a fuzzy vault scheme for feature fusion. In our scheme, two facial features Multi-Block Local Binary Pattern (MB-LBP) and Principal Component Analysis (PCA) coefficients are extracted. A key is split into two overlapped subkeys. One is utilized to generate a set of helper data from MB-LBP. The other is utilized to generate another set of helper data from PCA coefficients. Two sets of helper data are submerged into the chaff points set and the final fuzzy vault is generated. In the fuzzy vault decoding, the MB-LBP and PCA coefficients of the query face image are utilized to recover two subkeys from the fuzzy vault. The final key is obtained from two subkeys. Because two subkeys are overlapped and complementary to each other, our scheme can obtain good authentication performance. It is confirmed by the experimental results.
This paper is partially supported by the Beijing municipal Nature Science Foundation under Grant No 4091004 and program of Beijing Municipality excellent under Grant No 2009D005015000010.
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., Nandakumar, K., Nagar, A.: Biometric Template Security. EURASIP Journal on Advances in Signal Processing, Special Issue on Biometrics, 1–20 (January 2008)
Hong, L., Jain, A.: Integrating Faces and Fingerprints for Personal Identification. IEEE Trans. PAMI 20, 1295–1307 (1998)
Juels, A., Sudan, M.: A Fuzzy Vault Scheme. In: IEEE International Symposium on Information Theory, pp. 408–426 (2002)
Nandakumar, K., Jain, A.K.: Muitibiometric Template Security Using Fuzzy Vault. In: 2nd IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2008, pp. 1–6 (2008)
Zhang, L., Chu, R., Xiang, S., Liao, S., Li, S.Z.: Face Detection Based on Multi-Block LBP Representation. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 11–18. Springer, Heidelberg (2007)
Zhang, S.C., Wu, L.F., Wang, Y.: Cascade MR-ASM for location facial feature points. In: Biometrics International Conference, pp. 683–691 (2007)
Turk, M.A., Pentland, A.P.: Eigenfaces for recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)
ORL face database, http://www.cl.cam.ac.uk/research/dtg/attarchive/facedata-base.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, L., Xiao, P., Jiang, S., Yang, X. (2011). A Fuzzy Vault Scheme for Feature Fusion. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-25449-9_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25448-2
Online ISBN: 978-3-642-25449-9
eBook Packages: Computer ScienceComputer Science (R0)