DocumentCode :
327908
Title :
A method for character string extraction using local and global segment crowdedness
Author :
Shiku, Osamu ; Kawasue, Kikuhito ; Nakamura, Akira
Author_Institution :
Sasebo Coll. of Technol., Japan
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1077
Abstract :
We propose a new method for extracting character strings which have various directions and sizes. In our method, we regard a character string as a rectangular region crowded with short segments. Then two kinds of the segment crowdedness (local segment crowdedness and global segment crowdedness) are introduced to extract the rectangular regions (i.e. strings). The method was applied to many images which involve strings in various directions and sizes. The result shows that almost all strings were correctly extracted
Keywords :
Hough transforms; character recognition; document image processing; feature extraction; string matching; Hough transforms; character recognition; character string extraction; document image processing; global segment crowdedness; local segment crowdedness; rectangular regions; thinning; Data mining; Educational institutions; Image converters; Image segmentation; Pixel; Skeleton; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711879
Filename :
711879
Link To Document :
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