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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57031

Performance Evaluation of Deep Learning Models for Tamil Handwritten Text Recognition

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM57031

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57031

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.

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Authors

HVARU2DP

Hariajitha VS1; Akilesh Ragavendra U 2; Dr.G.Maria Priscilla3

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Abstract

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

Deep Learning Handwritten Character Recognition Tamil Script Sequence-to-Sequence Models Performance Benchmarking

Cite This Article

Hariajitha VS1; Akilesh Ragavendra U 2; Dr.G.Maria Priscilla3, "Performance Evaluation of Deep Learning Models for Tamil Handwritten Text Recognition," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM57031

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Publication Date

2/28/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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