Paper Contents
Abstract
ABSTRACT The extraction of bilingual answers from scripts which contains low-resolution images presents a significant challenge in the fields of optical character recognition (OCR) in document analysis. As educational institutions and administrative bodies increasingly rely on digital solutions for grading and document management, there is a critical need for robust methods capable of accurately extracting text from suboptimal image quality. Traditional OCR methods are examined alongside more recent developments in machine learning and deep learning, particularly convolutional neural networks (CNNs). To examine the existing algorithms and methods a survey is presented to focus on critical issues of Text Processing. A comprehensive review of the current state of research in this area is highlighted which poses the key challenges, methodologies, and technological advancements.Keywords: Answer Scripts, Low Resolution Images, Text Detection.
Copyright
Copyright © 2024 Santhosha SG. This is an open access article distributed under the Creative Commons Attribution License.
