Abstract
This paper presents a robust watermarking method to enhance the security of multimodal biometric authentication system. A compact representation of face is first generated by downsampling the raw image with a high ratio. Then, the face feature is employed as watermark and embedded into fingerprint image with a blind SS-QIM scheme. Under the framework of sparse reconstruction, the credibility of fingerprint data can be verified by checking the validity of extracted pattern in the authentication stage. Furthermore, if the extracted face watermark is valid, it can provide additional identity information for multimodal biometric authentication. Experimental results demonstrate that the face watermark can effectively verify the credibility of fingerprint images while not affecting their recognition performance. Plus, fusing valid face watermark with host fingerprint can also increase the reliability of authentication.
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., Uludag, U.: Hiding biometric data. IEEE Trans. Pattern Analysis and Machine Intelligence 25(11), 1494–1498 (2003)
Jain, A.K., Nandakumar, K., Nagar, A.: Biometric template security. EURASIP Journal on Advances in Signal Processing (2008)
Kim, W., Lee, H.: Multimodal biometric image watermarking using two-stage integrity verification. Signal Processing 89(12), 2385–2399 (2009)
Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Analysis and Machine Intelligence 31(2), 210–227 (2009)
Sheikh, M., Baraniuk, R.: Blind error-free detection of transform-domain watermarks. In: Proc. ICIP, pp. 453–456 (2007)
Miller, M.L., Doerr, G.J., Cox, I.J.: Applying informed coding and embedding to design a robust high-capacity watermark. IEEE Trans. Image Processing 13(6), 792–807 (2004)
Candes, E.J., Tao, T.: Decoding by linear programing. IEEE Trans. Information Theory 51(12), 5406–5425 (2005)
Candes, E., Romberg, J.: â„“1-Magic: Recoverry of sparse signals. http://www.acm.caltech.edu/l1magic/ (2005)
Jea, T.Y., Govindaraju, V.: A minutia-based partial fingerprint recognition system. Pattern Recognition 38, 1672–1684 (2005)
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
Ma, B., Li, C., Zhang, Z., Wang, Y. (2011). Sparse Reconstruction Based Watermarking for Secure Biometric Authentication. 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_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-25449-9_31
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)