Improving Success rate of OCR using multidirectional Scanning

Abstract

In this paper we are trying to develop detection success rate of character recognition from visual input device by parameterized the input in several directions. In order to recognize perfectly what actually the characters are? We will be running recognition tests on different images in order to detect dissimilar characters from multiple directions. The idea is to reduce failures of the detected characters. We will correct our iterations on diverse angles to enhance the success rate of OCR algorithms