DocumentCode :
3061040
Title :
MCR expression of document images based on maximum matching of bipartite graph
Author :
Douniwa, Ken´ichi ; Chinveeraphan, Supoj ; Sato, Makoto
Author_Institution :
Precision & Intelligence Lab., Tokyo Inst. of Technol., Yokohama, Japan
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
117
Lastpage :
121
Abstract :
Proposes a new method for expressing binary images, named minimum covering run (MCR) expression. The proposed technique adapted from horizontal-vertical run expression, is derived by selecting suitable runs from horizontal and vertical run types which minimize the total number of runs that still represent the original images perfectly. It is shown that horizontal and vertical runs of binary image can be thought as partite sets of a bipartite graph. Consequently, the MCR expression that corresponds to maximum matching in the graph, can be found by using an algorithm solving this graph-theoretic problem. An efficient algorithm for the expression method is presented, and results show the validity of stroke extraction of information in document images
Keywords :
character recognition; document image processing; graph theory; binary images; bipartite graph; character recognition; document image processing; graph theory; horizontal-vertical run expression; minimum covering run expression; stroke extraction; Bipartite graph; Data mining; Image databases; Image segmentation; Laboratories; Management information systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.201941
Filename :
201941
Link To Document :
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