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
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;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711879