Handwritten Character Recognition using Neural Network with comparing Result with feature Extraction Technique Techniques

Abstract: This paper research is based on handwritten character recognition. For character recognition to achieve, better accuracy is important. By using the neural network and feature extraction technique, the recognition is achieved. This paper proposes the HCR using Alphabets & Digit characters by using feature extraction techniques.

Keywords: Back Propagation Neural Network, Classification Rate, Conventional, Directional, Gradient (sobel operator) Feature Extraction Technique, MPLN Using Back Propagation, Recognition Rate.