Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-11-04
International Journal of Image Processing (IJIP), Volume: 5,Issue:4, September/October 2011
Computer Science
Computer Vision and Pattern Recognition
8 pages, 7 figures
Scientific paper
Biometric security is a fast growing area. Protecting biometric data is very important since it can be misused by attackers. In order to increase security of biometric data there are different methods in which watermarking is widely accepted. A more acceptable, new important development in this area is reversible watermarking in which the original image can be completely restored and the watermark can be retrieved. But reversible watermarking in biometrics is an understudied area. Reversible watermarking maintains high quality of biometric data. This paper proposes Rotational Replacement of LSB as a reversible watermarking scheme for biometric images. PSNR is the regular method used for quality measurement of biometric data. In this paper we also show that SSIM Index is a better alternate for effective quality assessment for reversible watermarked biometric data by comparing with the well known reversible watermarking scheme using Difference Expansion.
Jacob Ann Jisma
Thampi Sabu . M.
No associations
LandOfFree
Securing Biometric Images using Reversible Watermarking does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Securing Biometric Images using Reversible Watermarking, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Securing Biometric Images using Reversible Watermarking will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-100838