Application of ant colony algorithm in image features extraction and identification

This paper proposes algorithms of image features extaction and identification by using seeking optimization capability of ant colony algorithm. The feature vectors of the identified images are regarded as the inputs of ant colony algorithm based on the information entropy. By the algorithms proposed by this paper, the features which cost the least time and whose identification effect are the best are selected under the precondition of identifying images correctly and then the images are identified. Experiments show that the algorithms are effective.