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A Review on Automation of Ancient Epigraphical Images
Preethi.P,Mamatha.H.R 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4
Inscriptions are the main source of historical study available throughout the world in constricted language. Epigraphy is the study of such inscriptions and the one who reads and understands (epigraphists or epigraphers) are in extinct condition, due to lack of knowledge transfer and interest. New inscriptions are found during excavation and finding expert epigraphers these days is a real challenge. Due to this, Researchers from the digital enhancement domain are actively involved in the decipherment of inscriptions all over the world. Automation Techniques uses Optical character recognition to convert the inscriptions into intelligible language. Currently works are witnessed in the literature survey on the global languages like Greek, Italian, Japanese, Russian, Latin, Iranian and Indian languages like Kannada, Tamil, Devanagari, Brahmi, Hoysala, and Pali. This paper reviews the techniques followed in automation of epigraphical scripts.