EFFICIENT LINEAR LOCAL FEATURES BASED COPY-MOVE DETECTION ALGORITHM
In this paper we propose a new algorithm to detect copy-move matching parts on digital images. The algorithm uses a representation of the image's analyzed region as the value of a specially selected hash function. Actually, the hash function is constructed using the effective linear local features. The developed algorithm is compared with existing algorithm based on CRT, the recommendations are given.