Detection of Region-duplication Forgery in Image Based on Key Points' Binary Descriptors

摘要

As a simple and effective way of image tampering, copy-move forgery was often used as a preferred method to forgers. A new method for detecting and localizing this type of malicious tampering is presented in this paper. The method first extracts Harris corners as the key points of the image, then extracts the binary feature descriptors of these key points, and searches the most similarity feature descriptor which satisfy a certain condition according to the descriptors, finally localizes the tampered regions. The experiment results show that the method can effectively detect this type of tampering for images. Simultaneously, the matching time is faster than these methods which descriptors' storage type is floating-point, such as SIFT and SURF.