Dr. S. Rajashekaran
Bio: Dr. S. Rajashekaran is an academic researcher. The author has co-authored 1 publications.
TL;DR: Support Vector Machine (SVM) based Real Time Hand-Written Digit Recognition System to recognize user given handwritten digits in real time is presented.
Abstract: Meanwhile Neural Networks based algorithms have intimated steadfast potential on various visual tasks including the recognition of Digits. This paper presents Support Vector Machine (SVM) based Real Time Hand-Written Digit Recognition System. The system involves two main sections i.e. training and recognition section. SVM classifier is used as the training algorithm and then tested it on MNIST dataset. We achieved a training accuracy of 98.05% and a test accuracy of 97.83% demonstrating that the proposed method can achieve significant and promising performance in digit recognition. Then we implemented our model to recognize user given handwritten digits in real time.