Contourlet Based Biometric Watermarking for Copyright Protection and Extraction Using Ica

During the last few decades, there is the continuous development of networking across the globe which simplified their path in data communication, multimedia signal processing and so on. It also ensures there is an effective need of copyright protection in multimedia processing. These data are actually very easy to hack: information becomes vulnerable to interception, copying, tampering or corruption. Many literatures have reported about Discrete Wavelet Transform watermarking techniques for data security. However, DWT based watermarking schemes are found to be less robust against image processing attacks and the shift variance of Wavelet Packet Transform causes inaccurate extraction. In this paper copyright protection for fingerprint image using contourlet transform and extraction using Independent component analysis was proposed. The performance measures like PSNR and Similarity measure are evaluated and compared with Discrete Wavelet Transform (DWT) to prove the robustness of the scheme. Simulations are carried out using MATLAB Software.