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A novel variational model for noise robust document image binarization

Neurocomputing, 2019
Binarization is a fundamental problem in document image analysis systems. Different from current thresholding techniques, a novel variational model is proposed for noise robust document image binarization in this work, which is inspired by two classical ...
Shu Feng
exaly   +2 more sources

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

IEEE International Conference on Document Analysis and Recognition, 2021
Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed in production and extended for further investigation.
Shannon Zejiang Shen   +5 more
semanticscholar   +1 more source

Twenty years of document image analysis in PAMI

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

Granulometric analysis of document images

Object recognition supported by user interaction for service robots, 2003
We report on new form of multivariate granulometries based on rectangles of varying size and aspect ratio. These granulometries are used for describing visual similarity between document images. Rectangular granulometries are used to probe the layout structure of document images, and the rectangular size distributions derived from them are used as ...
Bagdanov, A. D., Worring, M.
openaire   +2 more sources

Analysis of synthetic document images

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
Interoperability and reusability are becoming challenging problems in document engineering that cannot be solved satisfactorily with converters and filters. This paper advocates a new approach for logical structure recovery by means of document recognition techniques that operate on synthetic images, such as those rendered by a PostScript interpreter ...
Oliver Hitz, Lyse Robadey, Rolf Ingold
openaire   +1 more source

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

The Evolution of Document Image Analysis

Handbook of Document Image Processing and Recognition, 2014
Henry S. Baird, Karl Tombre
openaire   +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   +3 more
openaire   +1 more source

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   +1 more source

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

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