An Improved Information Hiding Method Based on Sparse Representation

Minghai Yao, Miao Qi, Yugen Yi, Yanjiao Shi and Jun Kong

Mathematical Problems in Engineering, 2015, vol. 2015, 1-10

Abstract:

A novel biometric authentication information hiding method based on the sparse representation is proposed for enhancing the security of biometric information transmitted in the network. In order to make good use of abundant information of the cover image, the sparse representation method is adopted to exploit the correlation between the cover and biometric images. Thus, the biometric image is divided into two parts. The first part is the reconstructed image, and the other part is the residual image. The biometric authentication image cannot be restored by any one part. The residual image and sparse representation coefficients are embedded into the cover image. Then, for the sake of causing much less attention of attackers, the visual attention mechanism is employed to select embedding location and embedding sequence of secret information. Finally, the reversible watermarking algorithm based on histogram is utilized for embedding the secret information. For verifying the validity of the algorithm, the PolyU multispectral palmprint and the CASIA iris databases are used as biometric information. The experimental results show that the proposed method exhibits good security, invisibility, and high capacity.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:197215

DOI: 10.1155/2015/197215

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