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Analyzing theInfluence ofHyperparameters onthe Efficiency of anOCR Model forPre-ReformHandwritten Texts Sherstnev P.A.Kozhin K.D.Pyataeva A.V.2025 год

Analyzing the Influence of Hyperparameters on the Efficiency of an OCR Model for Pre-Reform Handwritten Texts : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Analyzing the Influence of Hyperparameters on the Efficiency of an OCR Model for Pre-Reform Handwritten Texts : научное издание / P. A. Sherstnev, K. D. Kozhin, A. V. Pyataeva. - Текст : непосредственный // Programming and Computer Software. - 2025. - Т. 51, № 3. - P. 173-180. - This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained. - ISSN 0361-7688. - ISSN 1608-3261, DOI 10.1134/S0361768825700069.
Аннотация: This paper considers the influence of hyperparameters on the efficiency of models for optical handwriting recognition of pre-reform texts by the example of 19th-century handwritten reports of Yenisei province governors. The comparative analysis of model configurations with different architectural components, including normalization modules, feature extraction blocks, and predictors, is carried out. Particular attention is paid to the role of input image resolution and hidden layer size in achieving the optimal tradeoff between prediction accuracy and computational cost. The results allow us to identify key parameters for the development of optical character recognition systems adapted to historical texts with nonstandard orthography and complex structure. Directions for further research include the evaluation of synthetic methods to expand training data and the analysis of alternative architectures, e.g., transformers.
Год издания: 2025
Авторы: Sherstnev P.A. , Kozhin K.D. , Pyataeva A.V.
Издательство: Pleiades Publishing, Ltd., Москва
Источник: Programming and Computer Software
Выпуск: Т. 51, № 3
Номера страниц: 173-180
Держатель оригинала документа: Artificial Intelligence Center, Siberian Federal University
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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