• Anu Pallavi R
• Dr Chandrashekara S N

Ancient Indian scripts are a perfect evidence of the advanced languages and their grammarian rules existed tens of thousands of years. Though most of these Indian languages are still in use today, the scripts of these languages had undergone a significant change over these years due to the introduction of variations and local slangs, resulting in new children languages. While this being the case, the ancient Indians had taken immense trouble in preserving the history and culture through engravings on walls and through writings on palm leaves, which were traditionally passed on to next generations. These scriptures now are deteriorated either through the years of exposure to natural elements, or through human invasions of carelessness, in the process loosing huge ancient knowledge being lost forever. Understanding the value of this, academia in recent times started to digitalize these data into digital format, predominantly as images. To extract the characters from these scripts has been a tough work since the OCR techniques are inefficient towards such images. Thus, an approach is proposed in this paper for multilingual OCR of characters and retrieve from these ancient scripts. This paper proposes an image processing technique to retrieve the font pixels and removes the noise using Gaussian filter. And the characters are identified using a grid search approach using a weighted dataset

Indian language OCR, ancient script, character recognition

"An Effort Towards OCR From Ancient Indian Manuscripts Using Grid Search", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1617-1621, June-2020, Available :http://www.jetir.org/papers/JETIR2006234.pdf

"An Effort Towards OCR From Ancient Indian Manuscripts Using Grid Search", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1617-1621, June-2020, Available at : http://www.jetir.org/papers/JETIR2006234.pdf