Combining Image Security and Authentication Using Sift and Zernike Moments

In this paper, we propose a system that protects and authenticates digital image by applying Data Hiding schemes in Cipher text images. Image features are extracted using Global Zernike moments and Local SIFT features which acts as embedded data and used for authentication purposes. The image is preprocessed by employing a Histogram shrink operation and then Encrypted using Paillier cryptosystems. To this cipher text image, features extracted are embedded using Multilayer Wet Paper coding. At the receiver side, the image is decrypted and original image along with embedded data are recovered. To this received image Global Zernike moment?s features and Local SIFT features are extracted and compared with the received features data to verify the authenticity of the image. The proposed system simultaneously authenticates and provides security for the digital image.