This article is cited in 2 papers

Programming & Computer Software

Method for analyzing the structure of noisy images of administrative documents

O. A. Slavin^a, E. L. Pliskin<sup>ab

a</sup> Federal Research Center “Computer Science and Control” of the Russian Academy
^b LLC “Smart Engines Service”, Moscow, Russian Federation

Abstract: The problem of extracting content elements (fields) from the images of administrative documents via descriptions of anchoring elements is considered. Administrative documents contain static elements and content elements (filled information). The static objects of the document model are the lines of the document structure and the words. Sets of objects united by properties and relationships are described. The text descriptor can contain attributes that distinguish it from similar descriptors. We suggest using combined descriptors of line segments and words. We showed experimentally that the extraction of object sets improves the recognition accuracy of the document fields by 17% and the accuracy of information extraction by 16%. For optical character recognition, we employed SDK Smart Document Engine in the experiment.

Keywords: noisy image, document recognition, special text point, descriptor.

UDC: 004.932.72'1

MSC: 90C35, 90C27

Received: 15.09.2022

Language: English

DOI: 10.14529/mmp220407