METHODS AND ALGORITHMS FOR SEPARATION OF TEXT WRITTEN IN BRAILLE INTO CLASSES USING NEURAL NETWORK TECHNOLOGIES

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Yevrosiyo matematik nazariya va kompyuter fanlari jurnali
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Выпуск: Том 2 № 11 : Eurasian Journal of Mathematical Theory and Computer Sciences
Раздел: Статьи
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Doctor of technical sciences of Samarkand State University named after Sharof Rashidov professor
akmalar@jbnuu.uz
Doctoral student of the Jizzakh branch of the National University of Uzbekistan named after Mirzo Ulugbek
ushohabbos@jbnuu.uz

Аннотация:

Handwritten text recognition is a type of recognition embedded in character recognition technology, and some basic data processing technologies include the recognition of information written by hand or on a special writing device, such as financial statements, zip codes, braille, and various calculations. In 1998, Lekun et al.

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Akhatov , A. ., & Ulugmurodov , A. . (2022). METHODS AND ALGORITHMS FOR SEPARATION OF TEXT WRITTEN IN BRAILLE INTO CLASSES USING NEURAL NETWORK TECHNOLOGIES. Евразийский журнал математической теории и компьютерных наук, 2(11), 4–8. извлечено от https://in-academy.uz/index.php/EJMTCS/article/view/4248

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