Results 271 to 280 of about 39,490,265 (332)

Document Image Analysis

1994
A perfectly parallel thinning algorithm, Y.Y. Zhang and P.S.P. Wang background structure in document images, H.S. Baird analysis of form images, D.-C Wang and S.N. Srihari model-based analysis and understanding of check forms, T.H. Minh and H. Bunke document structures - a survey, Y.Y. Tang and C.Y. Suen automatic input of logic diagrams by recognizing
H Bunke, P S P Wang, H Baird
openaire   +2 more sources

Twenty Years of Document Image Analysis in PAMI

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
George Nagy
exaly   +2 more sources

Hyperspectral Document Image Processing: Applications, Challenges and Future Prospects

Pattern Recognition, 2019
Automatic image analysis is a crucial component of many intelligent systems designed for high-level understanding of documents. Most document image understanding systems are usually based on applying pattern recognition techniques to conventional three ...
Muhammad Uzair, Rizwan Qureshi
exaly   +2 more sources

Script Identification of Document Image Analysis

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
Script identification prior to OCR is necessary in document image analysis. And each script has unique spatial distribution and visual attribute that make it possible to identify itself from other languages. The key technology of script identification algorithm is to abstract effective measure feature.
Juan Cheng, Xijian Ping, Guanwei Zhou, Yang Yang   +3 more
openaire   +2 more sources

Chart analysis and recognition in document images

Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002
Hidden Markov models are a probabilistic modeling tool for time series data. It has been successfully applied to many areas, such as speech recognition, hand-written character recognition, etc. In this paper, we present a novel statistical approach using ergodic hidden Markov models to recognize scientific charts.
Yan Ping Zhou, Chew Lim Tan
openaire   +2 more sources

Image based typographic analysis of documents

Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002
An approach to image based typographic analysis of documents is provided. The problem requires a spatial understanding of the document layout as well as knowledge of the proper syntax. The system performs a page synthesis from the stream of formatting commands defined in a DVI file.
David S. Doermann, Richard Furuta
openaire   +1 more source

Document image analysis for active reading

Proceedings of the 2007 international workshop on Semantically aware document processing and indexing, 2007
A huge number of documents that were only available in libraries are now on the web. The web access is a solution to protect the cultural heritage and to facilitate knowledge transmission. Most of these documents are displayed as images of the original paper pages and are indexed by hand.
Claudie Faure, Nicole Vincent
openaire   +1 more source

Features for printed document image analysis

Object recognition supported by user interaction for service robots, 2003
This paper presents features for text/non-text area separation in printed document images. First, it introduces entropic discrimination, i.e., a simple separation using only one feature. Then, a brief recall on existing texture and geometric discriminant parameters proposed in previous research (2001, 2002) is included.
Jean Duong, Hubert Emptoz, Myriam Côté
openaire   +1 more source

The Evolution of Document Image Analysis

Handbook of Document Image Processing and Recognition, 2014
Henry S. Baird, Karl Tombre
openaire   +2 more sources

Treatment of Diagrams in Document Image Analysis

2000
Document image analysis is the study of converting documents from paper form to an electronic form that captures the information content of the document. Necessary processing includes recognition of document layout (to determine reading order, and to distinguish text from diagrams), recognition of text (called Optical Character Recognition, OCR), and ...
Dorothea Blostein, Edward Lank, Richard Zanibbi   +2 more
openaire   +1 more source