학술논문

A detailed exploration of Document Image Layout Retention techniques
Document Type
Conference
Source
2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Computing, Communication, and Intelligent Systems (ICCCIS), 2023 International Conference on. :1068-1073 Nov, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Robotics and Control Systems
Surveys
Deep learning
Text analysis
Layout
Internet
Intelligent systems
DLA
OCR
CC
physical layout
skew correction
text/non-text
Language
Abstract
The main goal of layout retention of document images is to find out the regions of interest in a scanned printed or handwritten document. These sections of interest can be paragraphs, text or non-text portions, headings, tables, etc. The research on layout analysis approaches that have been done over the past few years is summarised in this article. In order to conduct this survey, research articles from Google Scholar, ACM, IEEE, and other sources on various strategies for layout retention have been examined. The majority of the information is taken from reputable journals, and the remaining papers come from various conferences and book chapters. The comparison of several document image layout retention algorithms is discussed in this article. It aids in locating the gaps between several procedures so that an enhanced strategy may be developed to produce better outcomes.