TY - GEN
T1 - Fusion of LSB and DWT biometric watermarking for offline handwritten signature
AU - Low, Cheng Yaw
AU - Teoh, Andrew Beng Jin
AU - Tee, Connie
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - Biometric watermarking refers to the incorporation of biometrics in watermarking technology. In this paper, we present a novel biometric watermarking scheme to embed handwritten signature invisibly in the host as a notice of legitimate ownership. We propose to adaptively fuse Least Significant Bit (LSB) and Discrete Wavelet Transform (DWT)-based approaches into a unison framework, which to be known as LSBDWTscheme. The performance of LSB-DWT scheme is validated against simulated frequency and geometric attacks, specifically JPG compression, low pass filtering, median filtering, noise addition, scaling, rotation and cropping through visual inspection, Peak Signal to Noise Ratio (PSNR) and watermark distortion rate. Experiment results prove that LSB-DWT scheme is sufficiently robust even in the presence of deliberate distortions.
AB - Biometric watermarking refers to the incorporation of biometrics in watermarking technology. In this paper, we present a novel biometric watermarking scheme to embed handwritten signature invisibly in the host as a notice of legitimate ownership. We propose to adaptively fuse Least Significant Bit (LSB) and Discrete Wavelet Transform (DWT)-based approaches into a unison framework, which to be known as LSBDWTscheme. The performance of LSB-DWT scheme is validated against simulated frequency and geometric attacks, specifically JPG compression, low pass filtering, median filtering, noise addition, scaling, rotation and cropping through visual inspection, Peak Signal to Noise Ratio (PSNR) and watermark distortion rate. Experiment results prove that LSB-DWT scheme is sufficiently robust even in the presence of deliberate distortions.
UR - http://www.scopus.com/inward/record.url?scp=51849106448&partnerID=8YFLogxK
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U2 - 10.1109/CISP.2008.713
DO - 10.1109/CISP.2008.713
M3 - Conference contribution
AN - SCOPUS:51849106448
SN - 9780769531199
T3 - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
SP - 702
EP - 708
BT - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
T2 - 1st International Congress on Image and Signal Processing, CISP 2008
Y2 - 27 May 2008 through 30 May 2008
ER -