Models and Methods Flexible Documents Matching Based on the Recognized Words

Slavin, Oleg; Arlazarov, Vladimir V.; Tarkhanov, Ivan

doi:10.1007/978-3-030-67892-0_15

Cited by 4 publications

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“…Similar to the keypoints for rigid templates of flexible documents, it is possible to use special text points. This work continues the study of a model of flexible administrative documents based on special text points [6,7]. A pair T (W ), B(W ) defines a descriptor of a special text point W , where T (W ) is a core of a special text point W , i.e.…”

Section: Introductionmentioning

confidence: 78%

Method for Analyzing the Structure of Noisy Images of Administrative Documents

Slavin,

Pliskin

2023

Studies in Systems, Decision and Control

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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.

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Section: Introductionmentioning

confidence: 78%