DIGITAL ANALYSIS OF TAMIL-BRAHMI INSCRIPTIONS USING MACHINE LEARNING

Special Issue - Innovative Commerce: Bridging Business and Computer Applications (ICBBCA-2026) |PG Department of Commerce with Computer Applications, Mannar Thirumalai Naicker College, Madurai – March 2026| International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Tamil-Brahmi inscriptions are among the earliest records of the Tamil language, dating from the 3rd century BCE to the 4th century CE. These inscriptions appear on rocks, caves, pottery, and coins across South India and Sri Lanka. Due to erosion and variations in writing styles, manual interpretation is difficult. Automated recognition systems using image processing and machine learning help identify characters and interpret inscriptions more efficiently. These technologies support digital preservation, archaeological research, linguistic studies, and cultural heritage conservation.

References

1. Mahadevan, I. (2003). Early Tamil Epigraphy: From the Earliest Times to the Sixth Century A.D. Harvard University Press.
2. Rajan, K. (2015). Archaeology of Tamil Nadu. Manoo Pathippagam.
3. Smith, M. (2018). Digital Epigraphy and Ancient Script Recognition. Journal of Archaeological Science.
4. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
5. Gonzalez, R., & Woods, R. (2017). Digital Image Processing. Pearson.

Keywords

Tamil-Brahmi, Image Processing, Machine Learning, Optical Character Recognition, Epigraphy