About
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications which include, reading aid for blind, visiting cards and conversion of any hand written document into structural text form. In this project an attempt is made to recognize handwritten characters for Digits, English alphabets and Telugu characters using neural network. Each character data set contains 26 alphabets for English, 10 digits for Numeric data, 56 characters for Telugu. The neural network is used for classification and recognition. The results show that the proposed system recognizes characters from the image in a efficient manner and provides results to user in structural text form. It contributes immensely to the advancement of automation process and improves the interface between man and machine in numerous applications. Several research works have been focusing on new techniques and methods that would reduce the processing time while providing higher recognition accuracy.