An Optical Character Recognition System from Printed Text and Text Image using Adaptive Neuro Fuzzy Inference SystemAn Optical Character Recognition System from Printed Text and Text Image using Adaptive Neuro Fuzzy Inference System

This is the age of digital systems. Now a days, everything is being computerized. Peoples are using mobile phones, laptop, computer, camera, notebook, pdf reader etc digital systems too much than ever. Use of papers and pen, printed books are decreasing. Rather peoples are using digital means of communication, study, documentation. Optical character recognition is an application of these digital systems. There are many ways and systems to recognize a character from a printed document. Many research works have been done for OCR in different languages using neural network, support vector machine, markov model. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based methodology has been proposed for recognizing characters from printed documents such as text image. Purpose of this paper is not making a software but proving the usability and effectivity of ANFIS for optical english character recognition and propose a anfis system with less error and more efficiency. Proposed system can detect every character perfectly wihout error.