Detection of handwritten text using convolutional neural network

Abstract

Machine replication of human functions, like reading, is an ancient dream. However, over the last five decades, machine reading has grown from a dream to reality. We have tried to make it more obvious through a hand writing recognition system. This research paper describes a text-line extraction based method. It offers a new solution to traditional handwriting recognition techniques using concepts of Deep learning and computer vision. An image can have hand writing, typed letters, different characters and other images. Our intention is to detect all the characters and display them. Some images can also have unnecessary lines or unclear letters. This system will clear the picture through pre-processing system and will be able to identify the letters or characters. It will help people to identify any unclear messages. It will also avoid unnecessary images and will focus on the text only. Sometimes we want to ignore unnecessary advertisement images from the newspapers. Our system will do a great work for this. It will clear all the images and unnecessary lines etc. and will only display the text what people want to read.