Fusion of LSB and DWT Biometric Watermarking Using Offline Handwritten Signature for Copyright Protection

作者: Cheng-Yaw Low , Andrew Beng-Jin Teoh , Connie Tee

DOI: 10.1007/978-3-642-01793-3_80

关键词: Digital watermarkingGaussianPattern recognitionWatermarkArtificial intelligenceLeast significant bitMedian filterComputer scienceGaussian noiseSpeech recognitionBiometricsSignature (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.

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