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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57031
Volume:
10 |
2 |
Feb 2026
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 report provides a concise overview of studies investigating advanced computational methods for precisely recognizing hand-written Tamil letters.A significant obstacle in using machine learning algorithms for decoding the complex Tamil writing system has been highlighted. An in-depth examination of multiple deep learning models will serve as the main research strategy. Quantitative results, such as precise metric values and error percentages, are compiled for comparison purposes in order to highlight relative effectiveness. The study underscores the superior approach applicable in this context and examines how it impacts digitalizing documents.
KEYWORDS
Publication Date
2/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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