RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS
Abstract & Details
Research Area
Computer Engineering
Keywords
Brahmi characters - Hybrid machine learning model - Convolutional Neural Network - Recurrent Neural Network
Abstract
A modern method of identifying the characters of ancient Tamil inscription. This paper presents an advanced approach to deciphering the characters found in ancient Tamil inscriptions, with a specific focus on the Brahmi type of Tamil characters. Unlike modern Tamil, which is widely understood, these characters, dating back to the 14th century, pose a significant challenge in interpretation. These inscriptions hold invaluable information concerning the lives of kings, their societal contributions, as well as insights into the field of medicine during that era. Consequently, this research paper introduces a novel method for extracting meaningful information from these inscriptions and written scripts by employing a Hybrid Machine Learning Model that combines Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). Through this innovative approach, the ancient characters can be accurately recognized and subsequently translated, leading to a deeper understanding of historical and medical knowledge encoded within these valuable sources.
License
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Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | SUJITH A | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | SINEKA V | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | VISALI V | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 4 | MADHUMITHA A | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
A, SUJITH, V, SINEKA, V, VISALI, & A, MADHUMITHA (2023). RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1381-1384.
MLA Style
A, SUJITH, et al. "RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1381-1384.
IEEE Style
SUJITH A, SINEKA V, VISALI V, and MADHUMITHA A, "RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1381-1384, 2023.
Vancouver Style
A SUJITH, V SINEKA, V VISALI, A MADHUMITHA. RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1381-1384.
Harvard Style
A, SUJITH, V, SINEKA, V, VISALI, & A, MADHUMITHA (2023) 'RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1381-1384.
Chicago Style
A, SUJITH, et al. "RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1381-1384.
Turabian Style
A, SUJITH, et al. "RECOGNITION OF TAMIL BRAHMI CHARACTERS USING HYBRID NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1381-1384.
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