Enhancing Hand Script Digitization using Deep Learning

The growth of digital technology in society plays an important role of storing, securing, and availability. For all of this to be possible the language is a critical point which makes people understand it. Many historical and legal documents in Tamil Nadu and other Tamil speaking regions are still in handwritten text. This Research converting handwritten script into machine-readable format. The practical use of Convolutional Neural Networks and Recurrent Neural Networks to effectively learn and recognize the intricate patterns of Tamil characters can allow people to understand and use these applicable methods in making a digitally Recognized Language. The Research also examines the potential environment this software could shine its excellence of Tamil handwritten recognition, including digitizing historical documents, enabling efficient data entry on touch-enabled devices. This Software's goal is to make every user able to develop their own digital library available at their fingertips. The compatibility and flawless performance with various operating software is ensured. This Technology would be a contribution to the society which acts in various fields such as helping in evaluating exam papers, written documents and for better information fraud control. The result of this project has shown a promising result of 95.7% Accuracy on Tamil Handwritten Character Recognition with low error rate of 0.0728% for every character, which also exceeded the previous technological standard.