Results 281 to 290 of about 1,196,582 (339)

Segmentation of heterogeneous document images (an approach based on machine learning, connected components analysis, and texture analysis)

, 2012
Omid Bonakdar Sakhi, NAJMAN, Laurent
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Document Images and Machine Learning: A Collaboratory between the Library of Congress and the Image Analysis for Archival Discovery (Aida) Lab at the University of Nebraska, Lincoln, NE

, 2019
Y. F. Liu, Chulwoo Pack, Leen‐Kiat Soh, Elizabeth Lorang   +3 more
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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.
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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
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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
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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
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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
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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
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