6533b826fe1ef96bd12846eb

RESEARCH PRODUCT

Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform

Hamid Reza KarimiJinyu LuTao Qu

subject

BiometricsArticle SubjectGeneral MathematicsIris recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEngineering (all)Robustness (computer science)Computer Science::MultimediaDiscrete cosine transformMathematics (all)Computer visionDigital watermarkingTransform codingMathematicsComputer Science::Cryptography and Securitybusiness.industrylcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringWatermarkVDP::Technology: 500::Information and communication technology: 550lcsh:QA1-939ComputingMethodologies_PATTERNRECOGNITIONlcsh:TA1-2040Computer Science::Computer Vision and Pattern RecognitionArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)BCH codeMathematics (all); Engineering (all)

description

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/926170 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.

10.1155/2014/926170http://dx.doi.org/10.1155/2014/926170