DocumentCode :
3142290
Title :
Page decomposition and signature finding via shape classification and geometric layout
Author :
Hobby, John D.
Author_Institution :
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
fYear :
1999
fDate :
20-22 Sep 1999
Firstpage :
555
Lastpage :
558
Abstract :
Consider the problem of decomposing a page image into text ruling lines, signatures, other line art, and other material. A fast classifier based on a skeletonization of the image and various curve-fitting techniques gives an initial labeling, followed by Baird´s language-free layout analysis and a post-processor that uses the geometric layout to refine the decisions about text versus non-text
Keywords :
curve fitting; document image processing; image classification; image thinning; optical character recognition; OCR; curve fitting; document image processing; geometric layout; image skeletonization; language-free layout analysis; line art; page decomposition; shape classification; signature finding; text ruling lines; Art; Curve fitting; Image analysis; Image segmentation; Image storage; Labeling; Optical character recognition software; Shape; Skeleton; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
Type :
conf
DOI :
10.1109/ICDAR.1999.791848
Filename :
791848
Link To Document :
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