Effective Implementation of Hand written Character Recognition using Neural Network

Handwriting recognition is a technique or capability of a Computer to accept and Expound accessible handwritten initial data from properties of hand written document with the source of images or scanned copies etc. Identification of hand written text is the is pattern recognition. pattern recognition is to separate or order data or information categories. recognition defines task to conversion of hand written to text. The paper mainly focuses on basic problem faced in recognition of stroke edges in the hand written character with various pattern recognition Techniques. Based on the survey take for this problem, many of the technologies are used for the recognition of the hand written character but recognition rate is low due to detection of the stroke edges is poor. Accuracy of the detection of character in hand written document is less due to segmentation rate is low.