By Topic

Biometric Watermarking based on affine parameters estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yang Li ; Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China ; Du, Sidan

In this paper, the architect of biometric watermarking is researched. A feature embedding watermarking (FEW) system is resented firstly. A robust biometric watermarking method for iris image based on affine parameters estimation (APE) is presented. The determination of the general affine transform applied to an iris image relies on the determination of the regular grid of points for estimation of the Radon transformation. the entire approach lies on the regularity of the reference grid, as extracted form an input and possibly distorted image, and by comparing it with a known reference grid. Improving Voloshynovskiy's methods, we showed that this problem can be efficiently solved by Radon transform in the case of general affine transforms, avoiding the exhaustive search. Experiment shows that the watermarking method is robust to affine transform. An efficiency security way to protect biometric data is presented and researched. The proposed approach can also be used in any application where images need to be resynchronized, such as satellite imaging, or interactive digital maps, avoiding the need to embed visible marks.

Published in:

Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on

Date of Conference:

2-4 April 2009