Efficient linear local features based copy-move detection algorithm
A.V. Kuznetsov, V.V. Myasnikov

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Full text of article: Russian language.

DOI: 10.18287/0134-2452-2013-37-4-489-495

Pages: 489-495.

Abstract:
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.

Key words:
digital image, duplicate, hash function, hash table, histogram, prime Galois field linear local features.

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