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Proceedings Paper

Biometric feature embedding using robust steganography technique
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Paper Abstract

This paper is concerned with robust steganographic techniques to hide and communicate biometric data in mobile media objects like images, over open networks. More specifically, the aim is to embed binarised features extracted using discrete wavelet transforms and local binary patterns of face images as a secret message in an image. The need for such techniques can arise in law enforcement, forensics, counter terrorism, internet/mobile banking and border control. What differentiates this problem from normal information hiding techniques is the added requirement that there should be minimal effect on face recognition accuracy. We propose an LSB-Witness embedding technique in which the secret message is already present in the LSB plane but instead of changing the cover image LSB values, the second LSB plane will be changed to stand as a witness/informer to the receiver during message recovery. Although this approach may affect the stego quality, it is eliminating the weakness of traditional LSB schemes that is exploited by steganalysis techniques for LSB, such as PoV and RS steganalysis, to detect the existence of secrete message. Experimental results show that the proposed method is robust against PoV and RS attacks compared to other variants of LSB. We also discussed variants of this approach and determine capacity requirements for embedding face biometric feature vectors while maintain accuracy of face recognition.

Paper Details

Date Published: 28 May 2013
PDF: 12 pages
Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 875503 (28 May 2013); doi: 10.1117/12.2018910
Show Author Affiliations
Rasber D. Rashid, The Univ. of Buckingham (United Kingdom)
Harin Sellahewa, The Univ. of Buckingham (United Kingdom)
Sabah A. Jassim, The Univ. of Buckingham (United Kingdom)

Published in SPIE Proceedings Vol. 8755:
Mobile Multimedia/Image Processing, Security, and Applications 2013
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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