Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM17901
Volume:
7 |
3 |
Mar 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project aims to develop a system for handwritten recognition that is capable of recognizing handwritten characters in a variety of fonts and styles. The system will be developed using deep learning and convolutional neural networks to learn the features of each character. The system will be tested on a variety of datasets, including the MNIST dataset, and will be evaluated based on accuracy and speed. The system will be deployed as a web-based application so that users can easily upload their own handwritten characters and receive recognition results. Additionally, the system will be able to recognize characters from different languages, such as Chinese, Japanese, and Korean. Finally, a user interface will be designed for the system so that users can easily interact with the application.
KEYWORDS
Publication Date
3/26/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...