Intellectualization of information technologies for producing digital graphic documents with weakly formalized description of objects


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Abstract

This paper addresses the problem of automating the production of digital graphic documents based on pattern recognition and machine learning methods. Methods for solving problems of detecting and isolating objects with similar descriptions, as well as their parallelization, are considered. Interactive procedures of editing and assigning classification codes to the etalons constructed are described. The results are demonstrated with an example of inputting real documents.

About the authors

Yu. G. Vasin

Research Institute for Applied Mathematics and Cybernetics

Email: lebedev@pmk.unn.ru
Russian Federation, ul. Ul’yanova 10, Nizhny Novgorod, 603005

L. I. Lebedev

Research Institute for Applied Mathematics and Cybernetics

Author for correspondence.
Email: lebedev@pmk.unn.ru
Russian Federation, ul. Ul’yanova 10, Nizhny Novgorod, 603005

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