Share Email Print
cover

Proceedings Paper

Enhanced information security employing orthogonal code, steganography, and joint transform correlation
Author(s): M. Nazrul Islam; Mohammad Faysal Islam; Kamal Shahrabi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A novel and robust technique is proposed in this paper for securing confidential information by utilizing orthogonal coding scheme, encoded steganography and nonlinear encryption through joint transform correlation. Different biometric signatures are encoded using individual orthogonal codes and then multiplexed together. The encrypted and multiplexed image is hidden inside a cover image employing a steganography technique, where one from the three least significant bits is chosen using another secret key. A color cover image is utilized which is decomposed into three color components, red, green and blue, so that three different sets of biometric signatures can be embedded into each of the color components. The color stego image is finally encrypted using multiple phase-shifted reference joint transform correlation (MRJTC) technique. The proposed encryption technique is a nonlinear process which increases the security strength significantly against any unauthorized access. The encoded steganography technique reduces the vulnerability that an intruder can retrieve any information from a given image through any steganalysis attack. Finally, the orthogonal coding scheme enhances the robustness by making the biometric information almost inaccessible without authorization.

Paper Details

Date Published: 29 April 2013
PDF: 11 pages
Proc. SPIE 8748, Optical Pattern Recognition XXIV, 87480K (29 April 2013); doi: 10.1117/12.2016394
Show Author Affiliations
M. Nazrul Islam, Farmingdale State College, SUNY (United States)
Mohammad Faysal Islam, George Washington Univ. (United States)
Kamal Shahrabi, Farmingdale State College, SUNY (United States)


Published in SPIE Proceedings Vol. 8748:
Optical Pattern Recognition XXIV
David Casasent; Tien-Hsin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top