Sparse reconstruction based watermarking for secure biometric authentication

Authors:
Bin Ma;Chunlei Li;Zhaoxiang Zhang;Yunhong Wang
Affiliations:
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China;Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Eng., Beihang Univ., Beijing, China and School of Electronic and ...;Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China;Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China
Venue:
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Year:
2011

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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.