DocumentCode
2016641
Title
Page Segmentation Competition
Author
Antonacopoulos, A. ; Gatos, B. ; Bridson, D.
Author_Institution
Univ. of Salford, Manchester
Volume
2
fYear
2007
fDate
23-26 Sept. 2007
Firstpage
1279
Lastpage
1283
Abstract
This paper continues the authors´ attempt to address the need for objective comparative evaluation of layout analysis methods in realistic circumstances. It describes the Page Segmentation Competition (modus operandi, dataset and evaluation criteria) held in the context of ICDAR2007 and presents the results of the evaluation of three candidate methods. The main objective of the competition was to compare the performance of such methods using scanned documents from commonly-occurring publications. The results indicate that although methods continue to mature, there is still a considerable need to develop robust methods that deal with everyday documents.
Keywords
document image processing; image segmentation; document image analysis; page segmentation competition; Computational intelligence; Image analysis; Image segmentation; Informatics; Information analysis; Optical character recognition software; Pattern recognition; Performance analysis; Telecommunication computing; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location
Parana
ISSN
1520-5363
Print_ISBN
978-0-7695-2822-9
Type
conf
DOI
10.1109/ICDAR.2007.4377121
Filename
4377121
Link To Document