作者: Cheng-Yaw Low , Andrew Beng-Jin Teoh , Connie Tee
DOI: 10.1007/978-3-642-01793-3_80
关键词: Digital watermarking 、 Gaussian 、 Pattern recognition 、 Watermark 、 Artificial intelligence 、 Least significant bit 、 Median filter 、 Computer science 、 Gaussian noise 、 Speech recognition 、 Biometrics 、 Signature (logic)
摘要: Biometric watermarking was introduced as the synergistic integration of biometrics and digital technology. This paper proposes a novel biometric technique, which embeds offline handwritten signature in host image for copyright protection. We propose to combine conventional LSB-based DWT-based techniques into unison framework, is known LSB-DWT this paper. The proposed technique evaluated against various simulated security attacks, i.e. JPEG compression, Gaussian low-pass filtering, median noise, scaling, rotation cropping. experimental results demonstrate that exhibits remarkable watermark imperceptibility robustness.