Results 151 to 160 of about 2,296,401 (194)
Some of the next articles are maybe not open access.

Layout Analysis of Document Images

LatinX in AI at Computer Vision and Pattern Recognition Conference 2023, 2023
In order to extract information of interest from document images, their content must be recognized. To that end, layout analysis is an important step. In layout analysis one is concerned in finding page components such as text blocks, tables, formulas, diagrams, and determining their logical role.
openaire   +1 more source

Document Image Analysis

2011
One of the main distinguishing features of a document is its layout, as determined by the organization of, and reciprocal relationships among, the single components that make it up. For many tasks, one can afford to work at the level of single pages, since the various pages in multi-page documents are usually sufficiently unrelated to be processed ...
openaire   +1 more source

Document image analysis for digital libraries

Proceedings of the 2006 international workshop on Research issues in digital libraries, 2006
Digital Libraries have many forms -- institutional libraries for information dissemination, document repositories for record-keeping, and personal digital libraries for organizing personal thoughts, knowledge, and course of action. Digital image content (scanned or otherwise) is a substantial component of all of these libraries.
openaire   +1 more source

Using typography in document image analysis

1998
Even if font usage plays an important role in Document Image Analysis (DIA), recognition systems generally take the concept of font management in a weaker sense than in the production cycle. With the point of view of the document recognition community, we show how typographic information (characters bitmap, metrics, etc.) can improve existing analysis ...
Frédéric Bapst, Rolf Ingold
openaire   +1 more source

Multimodal Document Image Classification

IEEE International Conference on Document Analysis and Recognition, 2019
State-of-the-art methods for document image classification rely on visual features extracted by deep convolutional neural networks (CNNs). These methods do not utilize rich semantic information present in the text of the document, which can be extracted ...
R. Jain, Curtis Wigington
semanticscholar   +1 more source

Resolution-sensitive document image analysis for document repurposing

The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, 2004
The variety of displays used to browse and view images has created a need to adapt an image representation to the size constraints of a given display. In this paper a resolution-sensitive analysis of document images is performed that segments images into text and image regions using document layout analysis and JPEG 2000 header-based processing ...
K. Berkner, E.L. Schwartz
openaire   +1 more source

Document image layout analysis via explicit edge embedding network

Information Sciences, 2021
Xingjiao Wu   +4 more
semanticscholar   +1 more source

Document analysis by processing JBIG-encoded images

International Journal of Document Analysis and Recognition (IJDAR), 2005
Techniques are presented to directly process JBIG-encoded document images. Two experimental processing pipelines are designed to evaluate the performance of the methods from the application perspective. They are document segmentation for obtaining the global layout and the form processing system for form type identification and the form dropout.
Emma E. Regentova   +4 more
openaire   +1 more source

New segmentation techniques for document image analysis

Image and Vision Computing, 1995
Abstract In this paper, some raster image segmentation techniques are proposed to extract character/graphic pixels from scanned document images. These methods are very efficient in extracting character/graphic pixels from the images with a variety of background types.
N. B. Venkateswarlu, Roger D. Boyle
openaire   +1 more source

A fast multifunctional approach for document image analysis

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2003
Collinear arrangement of objects (such as, text elementsor continuous lines) is integral part of any officedocument image, whether structured or unstructured. Theability to analyze such an organization of objects thusprovides the basic and important building block for aplethora of image analysis applications.
Rohit Kumar 0006   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy