Mobile based Text Image Recognition using Deep Learning Approach

Abstract

Recognizing text image from mobile phone is a challenge task for limited capacity and processing power. And also the accuracy of the system is important for text image recognition system. In this system, we aimed to develop a Text Image Recognition System for mobile environment using Myanmar Character Dataset. Firstly, the image captured from mobile phone’s camera and then segment each connected character using Connected Labeling Algorithm. After that the segmented characters input into the Convolutional Neural Network by passing layer by layer to get feature maps for recognizing the words in a given text image.