Open AccessNovel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform
Author(s) -
Jinyu Lu,
Tao Qu,
Hamid Reza Karimi
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/926170
Subject(s) - discrete cosine transform , digital watermarking , biometrics , bch code , iris recognition , watermark , singular value decomposition , artificial intelligence , computer vision , mathematics , singular value , encryption , robustness (evolution) , computer science , pattern recognition (psychology) , coding (social sciences) , image (mathematics) , modified discrete cosine transform , transform coding , algorithm , decoding methods , eigenvalues and eigenvectors , computer security , biochemistry , physics , chemistry , statistics , quantum mechanics , gene
A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the singular values of each host image's coefficients which are obtained through discrete cosine transform (DCT). Numerical results reveal that proposed method can extract the watermark effectively and illustrate its security and robustness. © 2014 Jinyu Lu et al
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