A NEW APPORACH TO OPTICAL CHARACTER RECOGNITION BASED ON TEXT RECOGNITION IN OCR
The intention is to build an automatic text localization and extraction system which is able to accept different types of still images (or video frames) possibly with a complex background.
Abstract
Optical Character Recognition (OCR) is a technology that enable of you to convert different types of documents, such as scanned paper documents, either hand written or machine printed script, PDF files or images captured by a digital camera into editable and searchable data. Our intention is to build an automatic text localization and extraction system which is able to accept different types of still images (or video frames) possibly with a complex background. This paper investigates methods for building an efficient application system for detecting text of any grayscale values embedded in images