RU2002127826A - METHOD FOR AUTOMATIC DETERMINATION OF THE LANGUAGE OF RECOGNIZABLE TEXT WITH MULTILINGUAL RECOGNITION - Google Patents

METHOD FOR AUTOMATIC DETERMINATION OF THE LANGUAGE OF RECOGNIZABLE TEXT WITH MULTILINGUAL RECOGNITION

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Publication number
RU2002127826A
RU2002127826A RU2002127826/09A RU2002127826A RU2002127826A RU 2002127826 A RU2002127826 A RU 2002127826A RU 2002127826/09 A RU2002127826/09 A RU 2002127826/09A RU 2002127826 A RU2002127826 A RU 2002127826A RU 2002127826 A RU2002127826 A RU 2002127826A
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characters
word
language
text
affiliation
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RU2002127826/09A
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Russian (ru)
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RU2251737C2 (en
Inventor
Константин Владимирович Анисимович
Вадим Владиславович Терещенко
Владимир Юрьевич Рыбкин
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Аби Софтвер Лтд.
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Priority to RU2002127826/09A priority Critical patent/RU2251737C2/en
Priority claimed from RU2002127826/09A external-priority patent/RU2251737C2/en
Priority to US10/305,499 priority patent/US20040006467A1/en
Publication of RU2002127826A publication Critical patent/RU2002127826A/en
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Publication of RU2251737C2 publication Critical patent/RU2251737C2/en

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Claims (11)

1. Способ автоматического распознавания текста, содержащего фрагменты, написанные на нескольких языках, по информации растрового изображения, состоящий из следующих этапов: разбиение информации растрового изображения на множество фрагментов, изображающие символы текста; распознавание отдельных символов текста; объединение распознанных символов текста в группы; предположительно составляющие слова, (вариант: с помощью моделей); формирование по крайней мере одной гипотезы о языковой принадлежности группы символов как слова; принятие гипотезы о языковой принадлежности группы символов как слова; причем этап формирования гипотезы о языковой принадлежности группы символов как слова, в свою очередь, состоит по крайней мере из следующих действий: выбор перечня используемых лингвистических моделей, модельная оценка слова.1. A method for automatically recognizing text containing fragments written in several languages from raster image information, consisting of the following steps: splitting the raster image information into a plurality of fragments representing text characters; recognition of individual characters of the text; combining recognized text characters into groups; presumably constituent words, (option: using models); the formation of at least one hypothesis about the language affiliation of a group of characters as words; acceptance of the hypothesis of the language affiliation of a group of characters as words; moreover, the stage of formation of the hypothesis about the linguistic affiliation of a group of characters as a word, in turn, consists of at least the following actions: selection of the list of used linguistic models, model assessment of the word. 2. Способ по п.1, в котором этап распознавания символов текста по фрагментам выполняют с помощью классификатора, содержащего признаки символов двух или более языков.2. The method according to claim 1, in which the step of recognizing the characters of the text by fragments is performed using a classifier containing signs of characters of two or more languages. 3. Способ по п.1, в котором этап принятия гипотезы о языковой принадлежности группы символов как слова дополнительно включает выбор перечня (одного или более) языков для окончательной проверки языковой принадлежности слова, оценку слова на соответствие выбранным языкам.3. The method according to claim 1, wherein the step of adopting a hypothesis about the language affiliation of a group of characters as a word further includes selecting a list of (one or more) languages for the final verification of the language affiliation of the word, evaluating the word for compliance with the selected languages. 4. Способ по п.3, при котором перечень языков для проверки языковой принадлежности текста выбирают автоматически.4. The method according to claim 3, in which the list of languages for checking the language of the text is selected automatically. 5. Способ по п.3, при котором перечень языков для проверки языковой принадлежности текста выбирают вручную.5. The method according to claim 3, in which the list of languages for checking the language of the text is selected manually. 6. Способ по п.1, при котором этап принятия гипотезы о языковой принадлежности группы символов как слова дополнительно включает вычисление комплексной оценки слова, включающей по крайней мере оценку качества распознавания символов, словарную оценку как часть модельной оценки слова.6. The method according to claim 1, wherein the step of adopting a hypothesis about the language affiliation of a group of characters as a word further includes calculating a comprehensive assessment of the word, including at least an assessment of the quality of character recognition, a vocabulary assessment as part of a model assessment of the word. 7. Способ по п.6, в котором комплексная оценка дополнительно включает специальный показатель, характеризующий согласованность символов и/или слов в тексте.7. The method according to claim 6, in which a comprehensive assessment further includes a special indicator characterizing the consistency of characters and / or words in the text. 8. Способ по п.7, отличающийся тем, что специальный показатель включает геометрическое согласование символов между собой в пределах слова.8. The method according to claim 7, characterized in that the special indicator includes the geometric matching of characters among themselves within the word. 9. Способ по п.7, отличающийся тем, что специальный показатель включает геометрическую согласованность символов между собой в пределах строки.9. The method according to claim 7, characterized in that the special indicator includes the geometric consistency of characters with each other within the string. 10. Способ по п.7, отличающийся тем, что специальный показатель включает языковую согласованность слова с соседними словами.10. The method according to claim 7, characterized in that the special indicator includes the linguistic consistency of the word with neighboring words. 11. Способ по п.7, отличающийся тем, что специальный показатель включает оценку правильности восстановления информации символов по растровому изображению при наличии помех.11. The method according to claim 7, characterized in that the special indicator includes evaluating the correctness of the recovery of symbol information from a raster image in the presence of interference.
RU2002127826/09A 2002-07-07 2002-10-18 Method for automatic recognition of language of recognized text in case of multilingual recognition RU2251737C2 (en)

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US10/305,499 US20040006467A1 (en) 2002-07-07 2002-11-29 Method of automatic language identification for multi-lingual text recognition

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