Digitization and classification of Ancient Kannada Handwritten Palm Leaf Manuscript based on Author using VGG19 Model

Authors

  • Parashuram Bannigidad, Shivakumar Kalburgi and S. P. Sajjan

Keywords:

Deep learning, VGG19, ancient Kannada manuscripts, cultural heritage, hand written classification, convolution neural networks, palm-leaf manuscripts, transfer learning.

Abstract

This study examines deep learning approaches for classifying ancient Kannadahandwritten palm leaf manuscripts. We classify historical Kannada literature using theVGG19 neural network

References

Bannigidad Parashuram and Chandrashekar Gudada. "Age-type identification and recognition of historical kannada handwritten document images using HOG feature descriptors." In Computing, Communication and Signal Processing: Proceedings of ICCASP 2018, pp. 1001-1010. Springer Singapore, 2019

Downloads

Published

2024-07-19

How to Cite

Parashuram Bannigidad, Shivakumar Kalburgi and S. P. Sajjan. (2024). Digitization and classification of Ancient Kannada Handwritten Palm Leaf Manuscript based on Author using VGG19 Model. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 2135–2147. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2909

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.