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