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 :
بازگشت