Fingerprint watermarking with tamper localization and exact recovery using multi-level authentication

This paper presents the tamper localization and exact recovery using multi-level authentication in fingerprint watermarking. The proposed scheme will be detecting the tampered sector of fingerprint images when the watermark is embedded in the original image. If the sector has been tampered, the sector will be able to recover the original data. Furthermore, exact pixel value of the fingerprint image is used to embed the feature of extraction and recovery of the original fingerprint image from the tampered image. This paper also describes the usage of SHA-256 as a hash function, the usage of Least Significant Bit (LSB) technique to perform tamper detection, localization and recovery in the Region of Interest (ROI). The proposed scheme does not require original fingerprint for detection on the tampered sector and recovery. It uses 512 x 512 pixels fingerprint images and 288 x 180 pixels of ROI in this study. The experimental results showed that the tamper detection and localization were successfully detected and localized the tampered sector. The tampered sectors were restored accurately and the average peak signal-to-noise ratio (PSNR) value of watermarked image was 44.1518 dB. The experimental result proved the effectiveness of multi-level authentication.

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

[2]  Alessandra Lumini,et al.  Fingerprint Image Reconstruction from Standard Templates , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Jasni Mohamad Zain,et al.  Tamper Localization and Lossless Recovery Watermarking Scheme with ROI Segmentation and Multilevel Authentication , 2012, Journal of Digital Imaging.

[4]  Darshana Mistry,et al.  Comparison of Digital Water Marking methods , 2010 .

[5]  J.M. Zain,et al.  Medical Image Watermarking with Tamper Detection and Recovery , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Mohamad Zain Jasni,et al.  Fingerprint Watermarking with Tamper Detection , 2006 .

[7]  Osamah M. Al-Qershi,et al.  ROI-based tamper detection and recovery for medical images using reversible watermarking technique , 2010, 2010 IEEE International Conference on Information Theory and Information Security.

[8]  Jasni Mohamad Zain,et al.  The usage of block average intensity in tamper localization for image watermarking , 2011, 2011 4th International Congress on Image and Signal Processing.