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MRI India Journals Vol. 15 No. 1S (2026): Special Issue on Cognition, Human and Artificial Intelligence

Handwritten Character Recognition from Ancient Inscriptions: A Comprehensive Literature Review

Authors

  • Vasundhara R. Fegade Department of Computer Science, Bhusawal Arts, Science, and P.O. Nahata Commerce College, Bhusawal.
  • G. R. Wani Department of Computer Science, Bhusawal Arts, Science, and P.O. Nahata Commerce College, Bhusawal

DOI:

https://doi.org/10.65521/ijaece.v15i1S.1367

Keywords:

Handwritten Character Recognition (HCR) DhammaLipi Brahmi Script

Abstract

This paper provides a comprehensive review of the literature on handwritten character recognition, especially for Dhammalipi(Brahmi script) written on ancient inscriptions. There is a necessity to modernize old images and documents. The ancient times of stone inscriptions reveal the culture and assist in preserving and highlighting our nation's heritage. Handwritten Character Recognition (HCR) involves identifying and translating handwritten characters into digital text.HCR is a topic with extensive research, but there is still an opportunity for improvement in terms of accuracy and efficiency. Digitizing handwritten text is extremely important in today's world since it makes information available at any time and from any location. Digitized text is safer and environmentally friendlier than manual text, making it suitable for commercial use. This document examines multiple approaches and methods for obtaining, organizing, and deriving information from historical inscriptions in diverse languages. This literature will help many researchers to get the current and past position of work done on handwritten character recognition.

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Published

2026-01-19

How to Cite

Fegade , V. R., & Wani , G. R. (2026). Handwritten Character Recognition from Ancient Inscriptions: A Comprehensive Literature Review. International Journal on Advanced Electrical and Computer Engineering, 15(1S), 274–281. https://doi.org/10.65521/ijaece.v15i1S.1367

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