DTCWT-DCT watermarking method for multimodal biometric authentication

This paper provides a multimodal biometric watermarking algorithm to protect and well authenticate biometric data. It uses the DTCWT-DCT as a combination of two domain transform techniques to fuse face and fingerprint modalities. Two pseudorandom sequences are used to embed the bits of the quantized spectral minutiae representation used as a watermark into the face image. The embedding is done only in high-frequency sub-bands of the DTCWT decomposition, after applying the DCT transform to improve the authentication system security. The conducted experimental results based on ORL face and FVC2002 DB1 fingerprint databases proved the ability of the proposed approach to withstand the conventional digital image watermarking attacks. Also, good performance is showed in term of attaining an accuracy rate of 100%.

[1]  Md. Rajibul Islam,et al.  Biometric template protection using watermarking with hidden password encryption , 2008, 2008 International Symposium on Information Technology.

[2]  E. V. Prasad,et al.  Protecting Digital Images Using DTCWT-DCT , 2010, ICT.

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

[4]  Ashraf El-Sisi,et al.  Design and implementation biometric access control system using fingerprint for restricted area based on gabor filter , 2011, Int. Arab J. Inf. Technol..

[5]  Bernadette Dorizzi,et al.  A combined watermarking approach for securing biometric data , 2017, Signal Process. Image Commun..

[6]  Anil K. Jain,et al.  FVC2000: Fingerprint Verification Competition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Marek R. Ogiela,et al.  Digital images authentication scheme based on bimodal biometric watermarking in an independent domain , 2016, J. Vis. Commun. Image Represent..

[8]  Fengling Han,et al.  Fingerprint image watermarking approach using DTCWT without corrupting minutiae , 2013, 2013 6th International Congress on Image and Signal Processing (CISP).

[9]  Rajeev Kumar Singh,et al.  A Survey: Digital Image Watermarking Techniques , 2014 .

[10]  Raymond N. J. Veldhuis,et al.  A Fast Minutiae-Based Fingerprint Recognition System , 2009, IEEE Systems Journal.

[11]  Zhoufeng Liu,et al.  Semi-fragile self-recoverable watermarking scheme for face image protection , 2016, Comput. Electr. Eng..

[12]  Raymond N. J. Veldhuis,et al.  Fingerprint Verification Using Spectral Minutiae Representations , 2009, IEEE Transactions on Information Forensics and Security.

[13]  Rohit M. Thanki,et al.  Sparse Watermarking Technique for Improving Security of Biometric System , 2015 .

[14]  Naser Damer,et al.  Performance Anchored Score Normalization for Multi-biometric Fusion , 2013, ISVC.

[15]  M. L. Valarmathi,et al.  A Study on Watermarking Schemes for Image Authentication , 2010 .

[16]  Andreas Uhl,et al.  Watermarking as a Means to Enhance Biometric Systems: A Critical Survey , 2011, Information Hiding.

[17]  Driss Aboutajdine,et al.  Watermarking for protected fingerprint authentication , 2016, 2016 12th International Conference on Innovations in Information Technology (IIT).

[18]  Sanaa Ghouzali.  Watermarking Based Multi-biometric Fusion Approach , 2015, C2SI.

[19]  Sanaa Ghouzali,et al.  Hybrid Multi-Biometric Template Protection Using Watermarking , 2016, Comput. J..

[20]  Jiawei Han,et al.  Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.