Character Recognition of Vedic Sanskrit using Deep Learning Algorithms
Mrinal Pandey, Rashmikiran Pandey, Alexey Nikolaevich Nazarov · 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) · 2022
One of the applications of deep learning is deciphering the unscripted text over the walls and pillars of historical monuments is the major source of information extraction. This information gives us an idea about the art and the culture of that respective era. In this paper we proposed a model for digital recognition of textual characters written in Sanskrit language using the 4-fold Convolutional Neural Network (CNN) architecture. At the first stage we remove the noise and subsequently segmentation of characters from the input image is performed, later we convert the image into binary image format by the help of image processing techniques. The research is performed over the Devanagari script which was developed during 1stto the 4thcentury CE and is common to many languages from the Indian subcontinent.