Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM16519
Volume:
6 |
10 |
Oct 2022
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 paper proposes an efficient method for Offline Kannada handwritten word recognition system which uses image preprocessing techniques. Chars 51K dataset was used for experimentation of the work. Experiments were performed on handwritten Kannada Varanamala, Ottakshara, and Kaagunitha consisting of 25 handwritten characters in 637 classes. Kannada characters are used in our dataset. i.e Varanamala, Kaagunitha and Ottakshara. In this report we used CNN for training our model where it consists of different layers.
KEYWORDS
Publication Date
7/9/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
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...