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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
Data sources: ZENODO
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МЕТОДЫ РАЗРАБОТКИ ПРОГРАММНЫХ СРЕДСТВ РАСПОЗНАВАНИЯ ТЕКСТА

МЕТОДЫ РАЗРАБОТКИ ПРОГРАММНЫХ СРЕДСТВ РАСПОЗНАВАНИЯ ТЕКСТА

Abstract

Современные методы оптического распознавания достигли такого качества, которое вряд ли может быть улучшено существенно без использования информации о контексте распознавания. Как правило, поля ввода на формах имеют определенную синтаксическую структуру, либо серьезные семантические связи с другими полями. Информацию такого рода необходимо использовать в процессе распознавания для получения качественно более высоких результатов. Также применяются методы, использующие внешнюю семантическую информацию, комбинированные методы и методы, основанные на эвристиках

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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15
18
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