A secure approach for encrypting and compressing biometric information employing orthogonal code and steganography

Muhammad Faysal Islam; Mohammed Nazrul Islam

doi:10.1117/12.918648

23 April 2012 A secure approach for encrypting and compressing biometric information employing orthogonal code and steganography

Muhammad Faysal Islam, Mohammed Nazrul Islam

Author Affiliations +

Proceedings Volume 8398, Optical Pattern Recognition XXIII; 83980I (2012) https://doi.org/10.1117/12.918648
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

The objective of this paper is to develop a novel approach for encryption and compression of biometric information utilizing orthogonal coding and steganography techniques. Multiple biometric signatures are encrypted individually using orthogonal codes and then multiplexed together to form a single image, which is then embedded in a cover image using the proposed steganography technique. The proposed technique employs three least significant bits for this purpose and a secret key is developed to choose one from among these bits to be replaced by the corresponding bit of the biometric image. The proposed technique offers secure transmission of multiple biometric signatures in an identification document which will be protected from unauthorized steganalysis attempt.

Citation Download Citation

Muhammad Faysal Islam and Mohammed Nazrul Islam "A secure approach for encrypting and compressing biometric information employing orthogonal code and steganography", Proc. SPIE 8398, Optical Pattern Recognition XXIII, 83980I (23 April 2012); https://doi.org/10.1117/12.918648

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available