Handwriting recognition has been one of the most fascinating and challenging research areas in field of image processing and pattern recognition in the recent years. The biggest challenge in the field of image processing is to recognize documents both in printed and handwritten format. Recognition of handwritten character is a problem since there is a variation in same character due to different types of noises or font size. Character recognition is one of the most widely used for authentication of person as well as document. In this paper, the proposed solutions focus on applying neural network algorithm model for character recognition.