Handwritten English Character And Digit Recognition Using Multiclass SVM Classifier And Using Structural Micro Features
D C Shubhangi, Prakash S. Hiremath · 2009
In this paper an attempt is made to develop English handwritten character and digit recognition system .The paper describes the process of character recognition using the Multi Class SVM classifier and a novel feature set. The problem of recognition of English handwritten characters is still an active area of research. The support vector machine(SVM) is new learning machine with very good generalization ability. Recent results in pattern recognition have shown SVM (Support vector classifier) often have superior recognition rates in comparison to the other classification methods. The input data is English handwritten characters and digits. Here the novel and computational feature set called as structural micro feature set is proposed for handwritten data. Distinctive features for each character are extracted. Those features are passed to multiclass svm classifier which generate the hyperplane. Multicass hyperplane plots the values of test images in the classified class.