An Empirical Analysis on Recognition of Ancient Tamil Inscriptions Using Machine Learning

Ancient Tamil inscriptions, etched into stone and copper plates across millennia, stand as a testament to the rich and evolving heritage of Tamil-speaking communities. The intricacies of the ancient Tamil script, which evolved with unique nuances and regional variations over centuries, present a formidable barrier to comprehension. Character recognition, though seemingly a small step in the grand narrative of cultural preservation, possesses the latent potential to illuminate countless stories and historical insights buried within the cryptic folds of these ancient Tamil indices. In this paper, we delve into key areas crucial for character recognition in this unique context. This paper provides a thorough understanding of a range of technical ideas, from theoretical foundations to practical implementations, in creating a project that seeks to conserve and bring to life the treasures concealed in these ancient inscriptions. By combining the knowledge from these cited works, we encourage researchers and enthusiasts to increase the range of understanding and preserve this priceless cultural and linguistic heritage.