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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 2-3, June 2006
  4. Fourier–Mellin registration of line-delineated tabular document images
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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 8, Issue 4, September 2006
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 2-3, June 2006
Special issue on detection and understanding of tables and forms for document processing applications
Table-processing paradigms: a research survey
Fourier–Mellin registration of line-delineated tabular document images
DMOS, a generic document recognition method: application to table structure analysis in a general and in a specific way
Towards a theory of tables
Detection and analysis of table of contents based on content association
Design of an end-to-end method to extract information from tables
A simple and effective table detection system from document images
Consensus-based table form recognition of low-quality historical documents
Table form document analysis based on the document structure grammar
Generalization of Frei and Chen's approach to extract the lines and edges of a digital image
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 1, April 2006
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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Fourier–Mellin registration of line-delineated tabular document images

Content Provider Springer Nature Link
Author Hutchison, Luke A. D. Barrett, William A.
Copyright Year 2005
Abstract Image registration (or alignment) is a useful preprocessing tool for assisting in manual data extraction from handwritten forms, as well as for preparing documents for batch OCR of specific page regions. A new technique is presented for fast registration of lined tabular document images in the presence of a global affine transformation, using the Discrete Fourier--Mellin Transform (DFMT). Each component of the affine transform is handled separately, which dramatically reduces the total parameter space of the problem. This method is robust and deals with all components of the affine transform in a uniform way by working in the frequency domain. The DFMT is extended to handle shear, which can approximate a small amount of perspective distortion. In order to limit registration to foreground pixels only, and to eliminate Fourier edge effects, a novel, locally adaptive foreground-background segmentation algorithm is introduced, based on the median filter, which eliminates the need for Blackman windowing as usually required by DFMT image registration. A novel information-theoretic optimization of the median filter is presented. An original method is demonstrated for automatically obtaining blank document templates from a set of registered document images.
Starting Page 87
Ending Page 110
Page Count 24
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 8
Issue Number 2-3
e-ISSN 14332825
Language English
Publisher Springer-Verlag
Publisher Date 2006-03-25
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Document image registration Deskewing Background removal Fourier–Mellin transform Transformation reversal Locally-adaptive thresholding Microfilm processing Tabular document images Family history technology
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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