Handwritten Character Recognition

A medical company needs to take handwritten prescription and retrieve the text from it. To do this manually, it will require a lot of time and lots of cost to the company. So, the company wants to automate this task. You need to create a neural network model that will take images as input, read the text images, and convert it into digital text. To solve this problem, you need to create a CNN LSTM model.

The aim of this project is to automatically convert handwritten text into machine encoded text.