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ЖУРНАЛЫ // Информационные технологии и вычислительные системы // Архив

ИТиВС, 2022, выпуск 4, страницы 3–12 (Mi itvs781)

ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ И ТЕХНОЛОГИИ

A model for assessing the reliability of document text field recognition

V. V. Arlazarovab, A. V. Chuikobc, O. A. Slavinab

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b LLC "Smart Engines"
c Lomonosov Moscow State University

Аннотация: In this paper, we propose a model for assessing the reliability of simultaneous recognition for two text fields with the same content in a printed document. An example of such pairs could be the fields “amount” and “amount in words”.
The model analytically assesses the probability of independent recognition results in several fields to be coherent, while the fields in reality may be coherent and not coherent. We suggest a method for evaluating a single character recognition reliability that allows for a given multicharacter word recognition reliability threshold.

Ключевые слова: document recognition, error probability evaluation, probabilistic model for document text field recognition, character recognition, document authentication.

Язык публикации: английский

DOI: 10.14357/20718632220401



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