Wavelet Based Multi-Bit Fingerprinting Against Geometric Distortions


Article Preview

This paper presents a new image fingerprinting scheme which embeds a multi-bits fingerprinting code and is robust against the geometric attack such as rotation, scaling and translation. We construct a 64 bits fingerprinting code and embed into wavelet subband of 512x512 images repeatedly. In order to restore an image from geometric distortion a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. Results of experimental studies show that our method is robust against geometric distortions and JPEG compression.



Key Engineering Materials (Volumes 321-323)

Edited by:

Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi






W. G. Kim et al., "Wavelet Based Multi-Bit Fingerprinting Against Geometric Distortions", Key Engineering Materials, Vols. 321-323, pp. 1301-1305, 2006

Online since:

October 2006




[1] M. Wu, W. Trappe, Z. J. Wang, and K. J. R. Liu, Collusion-Resistant Fingerprinting for Multimedia, IEEE Signal Processing Magazine, pp.15-27, (2004).

DOI: 10.1109/msp.2004.1276103

[2] J. Dittmann, Combining Digital Watermarks and Collusion Secure Fingerprints for Customer Copy Monitoring, Proc. IEE Seminar Sec. Image & Image Authentication, pp.128-132, Mar. (2000).

DOI: 10.1049/ic:20000217

[3] S. Pereira, and T. Pun, Robust Template Matching for Affine Resistant Image Watermarks, IEEE Transaction on Image Processing, vol. 9, no. 6, pp.1123-1129, (2000).

In order to see related information, you need to Login.