A Novel Approach in Deep Learning method to Identify the Tamil Manuscripts in Palm Leaves

Authors

  • C.Balaji Assistant Professor Department of Computer Science Dr.NGP Arts and Science College Coimbatore, Tamilnadu, India
  • P.Lalitha Professor Department of BCA Hindusthan College of Arts and Science Coimbatore, Tamilnadu, India

Keywords:

CDF (Cumulative Distribution Function), Pytesseract, Deep Learning, Gaussian Function

Abstract

Manuscripts written on palm leaves are made using specially prepared palm leaves. Usually, the leaves are salted, dried, and then written on. Often, a stylus is used for writing. Religious writings, literary works, medical expertise, astrological information, and other cultural and historical details are among the many types of information found in these manuscripts. Numerous of these manuscripts are written in antiquated scripts like Pallava, Vatteluttu, or Grantha. Manuscripts written on palm leaves have been preserved and digitized because of their historical significance. Careful treatment is necessary during preservation to avoid deterioration, and several digitization efforts have been started to generate digital archives. The cultural legacy of Tamil Nadu and other Tamil-speaking areas is fundamentally based on Tamil palm leaf manuscripts. They offer a sight into the rich past, customs, and wisdom of the Tamil-speaking populace.

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Published

2024-09-24

How to Cite

C.Balaji, & P.Lalitha. (2024). A Novel Approach in Deep Learning method to Identify the Tamil Manuscripts in Palm Leaves. Journal of Computational Analysis and Applications (JoCAAA), 33(06), 163–169. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/728

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