A Novel Robust Algorithm for Digital Image Fingerprinting
一种新的数字图像指纹鲁棒算法

Digital fingerprint is a very important tool for copyright protection and copying control of digital products. The permissible user copies, the authenticated serial number and the copyright mark code are used as the basic content of the fingerprint, and the typical attacking is modeled as a process of binary stochastic noisy channel communication in this paper. The anti-attacking ability of the fingerprint is strengthened by means of such technique processes as encryption/decryption, error-correction coding, chaotic mapping for scrambling the image sub-blocks, feature-value based sub-block pickup and DCT-based fingerprint embedding into its transforming coefficients. The fingerprint extracting process needs the initial value of the chaotic mapping as the secret key, and also the original image. StirMark Benchmark testing results have substantiated its strong robustness.