Convolutional Neural Networks Based Bengali Handwritten Character Recognition

Autor:	Nagib Mahfuz, Sudarshan Mondal
Rok vydání:	2020
Předmět:	business.industry Computer science Computation Pattern recognition Image processing Convolutional neural network language.human_language Character (mathematics) Bengali language Artificial intelligence business Cursive Character recognition
Zdroj:	Cyber Security and Computer Science ISBN: 9783030528553
DOI:	10.1007/978-3-030-52856-0_57
Popis:	With the increment of computation power, recognizing handwritten Character has become popular and significant improvement has been achieved for most of the major languages. But Bengali character recognition system is not well enough because of the presence of perplexing character and excessive cursive in its characters. Although several research works have been conducted for recognizing the Bengali characters, an efficient procedure is yet to discover. As the number of datasets is inadequate, most of these studies could not achieve a satisfactory level. So we propose here to train a Convolution Neural Network (CNN) and tune the parameters for better accuracy. This procedure is applied to CMATERDB 3.1.2 dataset with 15000.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff7d12cff27e6386a88f656ce38ce144 https://doi.org/10.1007/978-3-030-52856-0_57 Zobrazit plný text záznamu