A Review: Text Extraction from Stone Inscriptions and Translating to Modern Language

With the help of photographs of stone inscriptions from various locations, this study aims to create an algorithm that can translate the ancient south Indian languages into modern language for use in a variety of applications. As many researchers as possible have used diverse algorithms and strategies for recognizing ancient characters in various languages. Despite character recognition technology's near-perfect performance when it comes to reading materials in both English and other languages, the conversion of ancient characters remains a significant difficulty. High levels of precision in the transfer of characters from ancient languages to modern languages, however, remain difficult. There are a very small number of persons who seek to digitally translate the old characters into characters from modern languages. The existing methods like OCR, STR have lesser accuracy as compared to the proposed algorithm. The suggested method AMSER has an accuracy of more than 90%. It helps in translating the text from the images of ancient stone inscriptions to the modern language.