Comparative study of two methods for Handwritten Devanagari Numeral Recognition

In this paper two different methods for Numeral Recognition are proposed and their results are compared. The objective of this paper is to provide an efficient and reliable method for recognition of handwritten numerals. First method employs Grid based feature extraction and recognition algorithm. In this method the features of the image are extracted by using grid technique and this feature set is then compared with the feature set of database image for classification. While second method contains Image Centroid Zone and Zone Centroid Zone algorithms for feature extraction and the features are applied to Artificial Neural Network for recognition of input image. Machine text recognition is important research area because of its applications in many areas like Bank, Post office, Hospitals etc.