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Implementasi hough transform dan dougman’s rubber sheet pada iris biometric sebagai watermark berbasis wavelet dan singular value decomposition

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Penilaian

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The research of digital image watermarking mostly focused robustness and quality of the watermarked image is generated, in other words, still little attention to the uniqueness of the watermark used as iris biometric. The use of iris as watermark to improve the security of the digital image data generated from the development of digital image watermarking software. The input image is iris image as many as 20 images and utilizes grayscale image as the host image. First, the implementation of the Hough Transform and Daugman's Rubber Sheet on iris biometrics as a watermark to localize location of the iris in the eye image and normalizing iris. Furthermore Discrete Cosine Transform to extract discrete cosine value (DC) of normalized iris template and converted to binary generate watermark in the form 2008 of binary bits. Watermark is then inserted into singular value of the host image each wavelet transform coefficients by the method of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). After testing the robustness to several attacks on the watermarked image, the resulting level of robustness watermark can be categorized as very good, because the watermark detection and extraction succeeded in returning, as well as verification of the threshold value of 0-0.5 using Normalized Euclidean Distance to find out the owner of the watermark information. The result of the application of SVD and DWT together provide quality of watemarked image is excellent on all the experimental data that PSNR of 46 dB.

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Publisher

Inderalaya : Fak. Ilmu Komputer., 2016

Collation

xiv, 141 hlm. : ilus.

Language

Indonesia

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Classification

NONE

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Subject(s)

Digital Image Watermarking
Iris Biometric
Hough Transform

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