Securing Biometric Images using Reversible Watermarking

11/04/2011
by   Sabu M. Thampi, et al.
0

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.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

07/31/2020

Reversible Debugging in Logic Programming

Reversible debugging is becoming increasingly popular for locating the s...
05/11/2021

Splitting recursion schemes into reversible and classical interacting threads

Given a simple recursive function, we show how to extract from it a reve...
11/17/2021

Quality Measures in Biometric Systems

Biometric technology has been increasingly deployed in the past decade, ...
11/10/2020

Multi-domain Reversible Data Hiding in JPEG

As a branch of reversible data hiding (RDH), reversible data hiding in J...
01/08/2018

Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos

Reversible video watermarking can guarantee that the original watermark ...
01/18/2012

A Multimodal Biometric System Using Linear Discriminant Analysis For Improved Performance

Essentially a biometric system is a pattern recognition system which rec...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.