Neural Networks in a Character Recognition Mobile Application
Neural Networks in a Character Recognition Mobile Application
Author(s): Liudmila Khaimina, Evgenii Khaimin, Daniil Antufiev, Inga ZashikhinaSubject(s): Social Sciences, Economy, Education, School education, Vocational Education, Adult Education, Higher Education , History of Education, ICT Information and Communications Technologies
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: convolutional neural network; character recognition; mobile application; application programming interface (API)
Summary/Abstract: The article deals with the problem of character recognition using an artificial neural network. Based on the selected data, a model of a convolutional neural network was built, parameters were selected, and the result of training the network was demonstrated. A mobile application with an embedded neural network model has been developed. The process of connecting an API for displaying information on recognized characters has been described. A mobile application with the functionality of recognizing Japanese characters is implemented.
Journal: Математика и информатика
- Issue Year: 63/2020
- Issue No: 5
- Page Range: 484-500
- Page Count: 17
- Language: English
- Content File-PDF