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.
