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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 2
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 2, Issue 2-3, December 1999
  4. Efficient and flexible text extraction from document pages
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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 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 2, Issue 4, June 2000
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2, Issue 2-3, December 1999
Script and language identification for handwritten document images
Extraction of bankcheck items by mathematical morphology
Efficient and flexible text extraction from document pages
Quality assessment and restoration of typewritten document images
Offline cursive script word recognition – a survey
Extracting curved text lines using local linearity of the text line
A complete system for the intelligent interpretation of engineering drawings
Document skew estimation without angle range restriction
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2, Issue 1, July 1999
International Journal of Document Analysis and Recognition (IJDAR) : Volume 1

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Efficient and flexible text extraction from document pages

Content Provider Springer Nature Link
Author Parodi, Pietro Fontana, Roberto
Copyright Year 1999
Abstract This paper describes a novel method for extracting text from document pages of mixed content. The method works by detecting pieces of text lines in small overlapping columns of width $w^{'}$ , shifted with respect to each other by $\epsilon < w^{'}$ image elements (good default values are: $\epsilon=1\%$ of the image width, $w^{'}=2\epsilon$ ) and by merging these pieces in a bottom-up fashion to form complete text lines and blocks of text lines. The algorithm requires about 1.3 s for a 300 dpi image on a PC with a Pentium II CPU, 300 MHz, MotherBoard Intel440LX. The algorithm is largely independent of the layout of the document, the shape of the text regions, and the font size and style. The main assumptions are that the background be uniform and that the text sit approximately horizontally. For a skew of up to about 10 degrees no skew correction mechanism is necessary. The algorithm has been tested on the UW English Document Database I of the University of Washington and its performance has been evaluated by a suitable measure of segmentation accuracy. Also, a detailed analysis of the segmentation accuracy achieved by the algorithm as a function of noise and skew has been carried out.
Starting Page 67
Ending Page 79
Page Count 13
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 2
Issue Number 2-3
Language English
Publisher Springer-Verlag
Publisher Date 1999-12-01
Publisher Place Berlin Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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