Публікація:
Handwritten character recognition models based on convolutional neural networks

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Зображення мініатюри

Дата

2023

Назва журналу

ISSN журналу

Назва тома

Видавництво

International Journal of Academic Engineering Research

Дослідницькі проекти

Організаційні підрозділи

Видання журналу

Анотація

This paper explores the possibility of using various convolutional neural network models to recognize handwritten Arabic characters. It discusses which of the existing convolutional neural network models best suits this task. The results are analyzed based on which conclusions are drawn regarding the effectiveness or ineffectiveness of specific convolutional neural network models. The paper provides an analysis of the efficiency of convolutional neural network models for the task of recognizing handwritten Arabic characters.

Опис

Ключові слова

Arabic symbol recognition, computer vision, convolutional neural networks (CNN), machine learning, symbol recognition

Бібліографічний опис

Pomazan V. Handwritten character recognition models based on convolutional neural networks / Pomazan V., Tvoroshenko I., and Gorokhovatskyi V. // International Journal of Academic Engineering Research. – 7(9). – pp. 64-72.

DOI