DocumentCode :
457061
Title :
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images
Author :
Shafait, Faisal ; Keysers, Daniel ; Breuel, Thomas M.
Author_Institution :
Image Understanding & Pattern Recognition Res. Group, German Res. Center for Artificial Intelligence, Kaiserslautern
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
872
Lastpage :
875
Abstract :
This paper presents a new representation and evaluation procedure of page segmentation algorithms and analyzes six widely-used layout analysis algorithms using the procedure. The method permits a detailed analysis of the behavior of page segmentation algorithms in terms of over- and undersegmentation at different layout levels, as well as determination of the geometric accuracy of the segmentation. The representation of document layouts relies on labeling each pixel according to its function in the overall segmentation, permitting pixel-accurate representation of layout information of arbitrary layouts and allowing background pixels to be classified as "don\´t care". Our representations can be encoded easily in standard color image formats like PNG, permitting easy interchange of segmentation results and ground truth
Keywords :
document image processing; image representation; image segmentation; document images; document layout representation; page segmentation; pixel-accurate representation; Algorithm design and analysis; Artificial intelligence; Color; Image analysis; Image segmentation; Labeling; Measurement; Pattern analysis; Pattern recognition; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.934
Filename :
1699028
Link To Document :
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