Method of Directed Enumeration of Alternatives in the Problem of Automatic Recognition of Half-Tone Images
A. V. Savchenko
Keywords: automatic image recognition, image recognition, learning recognition, minimum information discrimination criterion.
Pages: 90-98
Abstract
The problem of automatic recognition of half-tone images based on the minimum information discrimination principle is formulated and solved. A method of directed enumeration of the set of alternatives in the Kullback-Leibler information metric is proposed as opposed to the method of complete enumeration of competing hypotheses. A program and results of an experimental study of the method are presented. It is shown that the proposed algorithm is characterized by increased accuracy and reliability of automatic image recognition.
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