ICDAR2005 page segmentation competition

被引:22
作者
Antonacopoulos, A [1 ]
Gatos, B [1 ]
Bridson, D [1 ]
机构
[1] Univ Salford, Sch Comp Sci & Engn, PRImA Res Lab, Manchester M5 4WT, Lancs, England
来源
EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS | 2005年
关键词
D O I
10.1109/ICDAR.2005.184
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:75 / 79
页数:5
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