A Novel Content Detection Approach for Handwritten English letters

Abstract

Abstract The rise of Artificial Intelligence technology along with machine and deep learning are opening up almost limitless possibilities. There is also an element of fear towards this exponential growth. But it’s the humanization of our machines and devices that is seldom discussed or reported. But we deem it acceptable to nominate an unfortunate volunteer to retype notes scribbled on tiny pieces of paper so they can send to other attendees. Once again we need to ask ourselves if this is the most efficient method of managing our workload in this digital age. In order to solve this problem, we are proposing a solution to solve this. Instead of predicting by word, here we will be segregating the cursive English letter to individual characters and predicting it via trained Convolutional Neural Network (CNN) model. By using this methodology, increase in rate of prediction of the individual characters is been increased and it could be implemented to digitalize the forms in companies which will be a greater level of automation.