DocumentCode
3019312
Title
ICDAR2005 page segmentation competition
Author
Antonacopoulos, A. ; Gatos, B. ; Bridson, D.
Author_Institution
Pattern Recognition & Image Analysis Res. Lab., Salford Univ., UK
fYear
2005
fDate
29 Aug.-1 Sept. 2005
Firstpage
75
Abstract
There is an established need for objective evaluation of layout analysis methods, in realistic circumstances. This paper describes the page segmentation competition (modus operandi, dataset and evaluation criteria) held in the context of ICDAR2005 and presents the results of the evaluation of four 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 seem to be maturing, there is still a considerable need to develop robust methods that deal with everyday documents.
Keywords
document image processing; image segmentation; ICDAR2005 page segmentation competition; candidate method; layout analysis method; robust method; Computational intelligence; Image analysis; Image segmentation; Informatics; Laboratories; Optical character recognition software; Pattern recognition; Performance analysis; Telecommunication computing; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN
1520-5263
Print_ISBN
0-7695-2420-6
Type
conf
DOI
10.1109/ICDAR.2005.184
Filename
1575513
Link To Document