Using a Hybrid Model for Image Recognition of Handwritten Text

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dc.creatorIskandarova , S.N.
dc.date2022-09-10
dc.date.accessioned2024-03-25T11:46:21Z
dc.date.available2024-03-25T11:46:21Z
dc.descriptionIn the recognition of Uzbek handwritten letters, an important issue is segmentation and its recognition. The curvature of the handwriting, cursive and word-to-word problems, incorrect placement of diacritics, and the presence of ups and downs lead to the processing of the segmentation problem. In the manuscripts, the performance of linear and word segmentation is shown based on results obtained from software based on the CNN+LSTM+CTC neural network model.en-US
dc.descriptionOʻzbek matni qoʻlyozma harflarni tanib olishda segmentatsiya masalasi va uni tanib olish muhim hisoblanadi. Qo’lyozma matnning egriligi, bir-birini takrorlashi va tegishi bilan bog'liq muammolar, kursiv bog'lanish, noto'g'ri pozitsiya diakritik belgilar, ko'tarilish va tushish borligi segmentatsiya masalasini qayta ishlashga olib keladi. Qo’lyozmalarda CNN+LSTM+CTC neyron tarmoq modeli asosida dasturiy ta’minotdan olingan natija asosida qator segmentatsiyasi va soʻzlarga ajratish samaradorligi koʻrsatib berilgan.ru-RU
dc.formatapplication/pdf
dc.identifierhttps://ijdt.uz/index.php/ijdt/article/view/29
dc.identifier.urihttps://dspace.umsida.ac.id/handle/123456789/36020
dc.languagerus
dc.publisherSamarkand branch of TUITru-RU
dc.relationhttps://ijdt.uz/index.php/ijdt/article/view/29/15
dc.rightsCopyright (c) 2022 Iskandarova S.N.ru-RU
dc.sourceINTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED ISSUES OF DIGITAL TECHNOLOGIES; Vol. 1 No. 1 (2022): International Journal of Theoretical and Applied Issues of Digital Technologies; 48-52en-US
dc.sourceМеждународный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий; Том 1 № 1 (2022): Международный журнал теоретических и прикладных вопросов цифровых технологий; 48-52ru-RU
dc.source2181-3094
dc.source2181-3086
dc.subjectsegmentationen-US
dc.subjectneural networken-US
dc.subjectfilteringen-US
dc.subjecttopologyen-US
dc.subjecthandwritingen-US
dc.subjectpythonen-US
dc.subjectsegmentatsiyaru-RU
dc.subjectneyron tarmoqru-RU
dc.subjectfiltratsiyaru-RU
dc.subjecttopologiyaru-RU
dc.subjectqo’l yozmaru-RU
dc.subjectpythonru-RU
dc.titleUsing a Hybrid Model for Image Recognition of Handwritten Texten-US
dc.titleQoʻlyozma matn tasvirini gibrid model yordamida tanib olishru-RU
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeРецензированная статьяru-RU
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