FIELD: artificial intelligence systems, possible use for identification of complex graphic objects on an image, may be used in electronic workflow systems.
SUBSTANCE: in accordance to the method, spectral representation is generated in form of coordinate-phase portrait of object image. Then wavelet transformation of portrait is performed and at each level of transformation a characteristic vector of signs is formed, which consists of statistical characteristics of distributions of wavelet coefficients. Further, distances are computed between coordinate of signs vector of graphic object being analyzed and centers of clusters of characteristic vectors of standard objects. Resulting distances are recorded in a table. Then the table is sent to classifier. The data from the classifier are received at the block for making decisions about association of object being analyzed with one of the permitted classes, where the decision is then made.
EFFECT: increased trustworthiness when recognizing graphic objects due to extraction of signs from images being analyzed which make it possible to efficiently describe objects being analyzed under conditions when the manner of handwriting influences their structure.
6 dwg
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Authors
Dates
2008-03-27—Published
2006-05-22—Filed