Offline Handwritten Character Recognition Using Improved Back- Propagation Algorithm
Ashok Pon Kumar, Pradeep Kumar Bhatia · 2013
A neural network is a machine designed to model the way in which the brain performs a particular task. Character recognition techniques help in recognizing the characters written on paper documents and converting it in digital form. Character recognition is gaining interest and importance in the modern world due to its application in various fields. Handwritten character recognition is a very difficult problem due to great variation of writing style, different size and shape of the character. Accuracy and efficiency are the major parameters in the field of handwritten character recognition. Neural network is a technique used to improve the accuracy and efficiency of the handwritten character recognition system. This paper throws light on the improved neural network technique to recognize the offline handwritten characters.