Advanced Approaches of Handwritten Digit Recognition Using Hybrid Algorithm

Image processing is an interesting and widely used field in the research area. Handwritten digit recognition is a sub module of the image processing. Although lots of research has been done so for in this field and still continues. This paper suggested a novel approach of off-line handwritten digit recognition. The paper classified the digits into four regions: the left part, right part, upper part and lower part. In these four parts the images are identified on the basis of curve. The curve of a left part image is converted into pixels and as well as rest of all parts. Then these pixels are compared through decision tree and the result of comparison describes the format of digit. This method is used to test the various handwritten digit form modified NIST and MNIST databases, which shows the great success rate. Keyword: Digit recognition, Curve matching, Thinning, Smoothing, Regions Classification.