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Модель системы распознавания старопечатных кириллических текстов с помощью лингвистической базы данных |
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Автор: Денис Рашидович Касимов, Александр Валерьевич Кучуганов, Максим Николаевич Мокроусов, Павел Петрович Осколков
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07 Сентябрь 2014 |
In this paper a technique and an experimental system
of optical character recognition of early printed Cyrillic texts are proposed,
which are characterized by building an attributed graph of an image containing
fuzzy attributes of the outline and skeleton of symbols generated by detection
of letters on the basis of description logic as well as by the method of fuzzy
recognition of words by building a tree of correspondences to a linguistic
database.
 kasimov-kuchuganov-mokrousov-oskolkov_elmanuscript2014 (1.38 MB)
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