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 :
بازگشت