New feature-based image content authentication algorithm

This paper presents a new feature-based image content authentication algorithm. First, it draws the smooth-component and edge-character from the image with the algorithm of dyadic wavelet transform multi-scale edge detection, and makes them the image feature set that produces the digital signatures. That can ensure the one-to-one mapping relationship between the feature set and the image, and avoid the counterfeit attack. Then it quantizes the smooth-component to create 128 bits digest, and embeds the edge-character in the original image as a watermark. Image authentication needs to contrast with the digest and watermark character to confirm whether the content is tampered. The experiment proves that this authentication algorithm can effectively detect the event and the location when the original image content is tampered viciously, and can tolerate the damage produced by compression, filter and some other image processing. Even if the image is degraded by some noise, it can still pass through the authentication.