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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 9
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 9, Issue 2-4, April 2007
  4. User-driven page layout analysis of historical printed books
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International Journal of Document Analysis and Recognition (IJDAR) : Volume 20
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19
International Journal of Document Analysis and Recognition (IJDAR) : Volume 18
International Journal of Document Analysis and Recognition (IJDAR) : Volume 17
International Journal of Document Analysis and Recognition (IJDAR) : Volume 16
International Journal of Document Analysis and Recognition (IJDAR) : Volume 15
International Journal of Document Analysis and Recognition (IJDAR) : Volume 14
International Journal of Document Analysis and Recognition (IJDAR) : Volume 13
International Journal of Document Analysis and Recognition (IJDAR) : Volume 12
International Journal of Document Analysis and Recognition (IJDAR) : Volume 11
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9, Issue 2-4, April 2007
Special issue on the analysis of historical documents
Digital image analysis to enhance underwritten text in the Archimedes palimpsest
Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents
Hermite and Gabor transforms for noise reduction and handwriting classification in ancient manuscripts
Text line segmentation of historical documents: a survey
Word spotting for historical documents
Word matching using single closed contours for indexing handwritten historical documents
Keyword-guided word spotting in historical printed documents using synthetic data and user feedback
An old greek handwritten OCR system based on an efficient segmentation-free approach
DEBORA: Digital AccEss to BOoks of the RenAissance
Access by content to handwritten archive documents: generic document recognition method and platform for annotations
User-driven page layout analysis of historical printed books
User-configurable OCR enhancement for online natural history archives
Using colour information to understand censorship cards of film archives
Word spotting for historical documents
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9, Issue 1, March 2007
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
International Journal of Document Analysis and Recognition (IJDAR) : Volume 7
International Journal of Document Analysis and Recognition (IJDAR) : Volume 6
International Journal of Document Analysis and Recognition (IJDAR) : Volume 5
International Journal of Document Analysis and Recognition (IJDAR) : Volume 4
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2
International Journal of Document Analysis and Recognition (IJDAR) : Volume 1

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User-driven page layout analysis of historical printed books

Content Provider Springer Nature Link
Author Ramel, J. Y. Leriche, S. Demonet, M. L. Busson, S.
Copyright Year 2007
Abstract In this paper, based on the study of the specificity of historical printed books, we first explain the main error sources in classical methods used for page layout analysis. We show that each method (bottom-up and top-down) provides different types of useful information that should not be ignored, if we want to obtain both a generic method and good segmentation results. Next, we propose to use a hybrid segmentation algorithm that builds two maps: a shape map that focuses on connected components and a background map, which provides information about white areas corresponding to block separations in the page. Using this first segmentation, a classification of the extracted blocks can be achieved according to scenarios produced by the user. These scenarios are defined very simply during an interactive stage. The user is able to make processing sequences adapted to the different kinds of images he is likely to meet and according to the user needs. The proposed “user-driven approach” is capable of doing segmentation and labelling of the required user high level concepts efficiently and has achieved above 93% accurate results over different data sets tested. User feedbacks and experimental results demonstrate the effectiveness and usability of our framework mainly because the extraction rules can be defined without difficulty and parameters are not sensitive to page layout variation.
Starting Page 243
Ending Page 261
Page Count 19
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 9
Issue Number 2-4
e-ISSN 14332825
Language English
Publisher Springer-Verlag
Publisher Date 2007-03-02
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Page layout analysis Segmentation Digital libraries Analysis strategy Zone classification Pattern Recognition Image Processing and Computer Vision
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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