Biometric template protection with DCT-based watermarking

In this paper we have addressed a solution of two big issues in design of multimodal system: template protection and fusion strategy. A robust biometric watermarking algorithm is proposed for biometric template protection. The fingerprint feature vector and iris features are used as watermark. Proposed DCT-based watermarking technique embeds watermark in low-frequency AC coefficients of selected 8 $$\times $$× 8 DCT smoother blocks. Blocks are classified based on human visual system. The robustness of the proposed algorithm is compared with the few state-of-art literature when watermarked image is subjected to possible channel attacks. Decision level fusion strategy is used to improve the overall performance of multimodal system. That is achieved by conditionally limiting the threshold of the fingerprint system to a maximum value, obtained by projecting 50 % of the cross over error rate on to the FRR curve of the iris system.

[1]  Anil K. Jain,et al.  Hiding Fingerprint Minutiae in Images , 2002 .

[2]  G. Bhatnagar,et al.  Wavelet packet transform-based robust video watermarking technique , 2012 .

[3]  Siak Wang Khor,et al.  Iris recognition using rapid Haar wavelet decomposition , 2010, 2010 2nd International Conference on Signal Processing Systems.

[4]  Nicolae Vizireanu,et al.  Quantisation-based video watermarking in the wavelet domain with spatial and temporal redundancy , 2011 .

[5]  Richa Singh,et al.  Robust biometric image watermarking for fingerprint and face template protection , 2006, IEICE Electron. Express.

[6]  Nicolae Vizireanu,et al.  Robust wavelet-based video watermarking scheme for copyright protection using the human visual system , 2011, J. Electronic Imaging.

[7]  F. S. Hillier,et al.  Introduction to Operations Research, 10th ed. , 1986 .

[8]  Suprava Patnaik,et al.  Human Identification by Partial Iris Segmentation Using Pupil Circle Growing Based on Binary Integrated Edge Intensity Curve , 2011, 2011 International Conference on Communication Systems and Network Technologies.

[9]  Sharath Pankanti,et al.  Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society , 1998 .

[10]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Richa Singh,et al.  Improving biometric recognition accuracy and robustness using DWT and SVM watermarking , 2005, IEICE Electron. Express.

[12]  Anil K. Jain,et al.  Biometric template transformation: a security analysis , 2010, Electronic Imaging.

[13]  Yulin Wang,et al.  Blind image data hiding based on self reference , 2004, Pattern Recognit. Lett..

[14]  Kiyoharu Aizawa,et al.  Digital watermarking using inter-block correlation , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[15]  Suprava Patnaik,et al.  Robust Biometric Watermarking using Image Intrinsic Local Property for e-Database Applications , 2011, RA 2011.

[16]  Anil K. Jain,et al.  Attacks on biometric systems: a case study in fingerprints , 2004, IS&T/SPIE Electronic Imaging.

[17]  Anil K. Jain,et al.  Hiding Biometric Data , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Nalini K. Ratha,et al.  An Analysis of Minutiae Matching Strength , 2001, AVBPA.

[19]  Anil K. Jain,et al.  Handbook of Fingerprint Recognition , 2005, Springer Professional Computing.

[20]  Joan L. Mitchell,et al.  JPEG: Still Image Data Compression Standard , 1992 .

[21]  Azadeh Mansouri,et al.  Secure Digital Image Watermarking Based on SVD-DCT , 2008 .

[22]  Anil K. Jain,et al.  Hiding a face in a fingerprint image , 2002, Object recognition supported by user interaction for service robots.

[23]  Hisham Al-Assam,et al.  A lightweight approach for biometric template protection , 2009, Defense + Commercial Sensing.

[24]  Richa Singh,et al.  Enhancing security of fingerprints through contextual biometric watermarking. , 2007, Forensic science international.

[25]  Tassos Dimitriou,et al.  Protecting Biometric Templates with Image Watermarking Techniques , 2007, ICB.

[26]  Nalini K. Ratha,et al.  Secure data hiding in wavelet compressed fingerprint images , 2000, MULTIMEDIA '00.

[27]  Sharath Pankanti,et al.  Biometrics: Personal Identification in Networked Society , 2013 .

[28]  Slobodan Ribarić,et al.  Multimodal biometric user-identification system for network-based applications , 2003 .

[29]  Anil K. Jain,et al.  Biometric Template Security , 2008, EURASIP J. Adv. Signal Process..