DocumentCode
1639937
Title
ICDAR 2009 Page Segmentation Competition
Author
Antonacopoulos, A. ; Pletschacher, S. ; Bridson, D. ; Papadopoulos, C.
Author_Institution
Pattern Recognition & Image Anal. (PRImA) Res. Lab., Univ. of Salford, Manchester, UK
fYear
2009
Firstpage
1370
Lastpage
1374
Abstract
This paper presents an objective comparative evaluation of layout analysis methods in realistic circumstances. It describes the Page Segmentation competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2009 and presents the results of the evaluation of four submitted methods. Two state-of-the art methods are also compared as well as the three methods from the ICDA2007 Page Segmentation competition. 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; ICDAR 2009 page segmentation competition; Page Segmentation competition; layout analysis methods; modus operandi; Art; Image analysis; Image enhancement; Image recognition; Image segmentation; Pattern analysis; Pattern recognition; Pixel; Robustness; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location
Barcelona
ISSN
1520-5363
Print_ISBN
978-1-4244-4500-4
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2009.275
Filename
5277763
Link To Document