Abstract
This paper presents an innovative design for Optical Character Recognition (OCR) from text images by using the Template Matching method.OCR is an important research area and one of the most successful applications of technology in the field of pattern recognition and artificial intelligence.OCR provides full alphanumeric visualization of printed and handwritten characters by scanning text images and converts it into a corresponding editable text document. The main objective of this system prototype is to develop a prototype for the OCR system and to implement The Template Matching algorithm for provoking the system prototype. In this paper, we took alphabet (A-Z and a-z), and numbers (0-1), grayscale images, bitmap image format were used and recognized the alphabet and numbers by comparing between two images. Besides, we checked accuracy for different fonts of alphabet and numbers. Here we used Matlab R 2018 a software for the proper implementation of the system.
Highlights
Character Recognition (OCR) from text images by using the Template Matching method.OCR is an important research area and one of the most successful applications of technology in the field of pattern recognition and artificial intelligence.OCR provides full alphanumeric visualization of OCR is to classify visual patterns corresponding to alphanumeric or another letter.OCR is wanted when the information should be readable both to a human and to a machine
The main objective of this system prototype is to develop a areas of an image that match a template
It is a high prototype for the OCR system and to implement The Template Matching algorithm for provoking the system prototype
Summary
Human eyes are an optical mechanism. The image which is seen by the eyes is the input for the brain.OCR functions like the human ability of reading. OCR is a system prototype which has its scope, and it is using the Template Matching algorithm that is applied to recognize the character. The key concept is OCR and Template Matching. There are several approaches for text recognition and detection in images and videos have proposed earlier. These approaches can classify into two main classes: connected component based methods and texture based methods. An outline for a prototype Kanji OCR for recognizing a) Basic Concept of Optical Character Recognition (OCR) OCR is the technique which performs automatic identification and allows to automatically recognize the machine printed Japanese texts and translated them into English is proposed in [3]. A system developed for only English capital letters in[5].A first skew correction technique for Camera
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