Title :
Geometric Attack Invariant Watermarking with Biometric Data - Applied on Offline Handwritten Signature
Author :
Geetha, S. ; Sindhu, Siva S Sivatha ; Priya, S. Barani ; Mubakiya, S. ; Kamaraj, N.
Author_Institution :
Dept. of Inf. Technol., Thiagarajar Coll. of Eng., Madurai, India
Abstract :
Biometric watermarking refers to the process of incorporating the handwritten signatures or fingerprints in watermarking technology. In this paper, we present a novel statistical attack invariant watermarking scheme to embed an offline handwritten signature invisibly in the host as a notice of genuine ownership. The scheme employs Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) with Least Significant Bit (LSB) encoding for watermark insertion, which is to be known as DCT-SVD scheme. Experimental results confirm that DCT-SVD scheme is robust to statistical attacks even in the presence of deliberate distortions.
Keywords :
discrete cosine transforms; fingerprint identification; handwritten character recognition; image coding; image watermarking; singular value decomposition; statistical analysis; DCT-SVD scheme; LSB encoding; biometric data; biometric watermarking; discrete cosine transform; fingerprints; geometric attack invariant watermarking; least significant bit encoding; offline handwritten signature; singular value decomposition; statistical attack invariant watermarking scheme; watermark insertion; Discrete cosine transforms; Feature extraction; Fingerprint recognition; Rate distortion theory; Robustness; Watermarking; Biometric watermarking; DCT and SVD; Geometric attack invariant; Handwritten signature;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on
Conference_Location :
Hubli, Karnataka
Print_ISBN :
978-1-4577-2102-1
DOI :
10.1109/NCVPRIPG.2011.62