DocumentCode :
1012368
Title :
Discrimination of planar shapes using shape matrices
Author :
Taza, Antoine ; Suen, Ching Y.
Author_Institution :
Canada Post Corp., St. Laurent, Que., Canada
Volume :
19
Issue :
5
fYear :
1989
Firstpage :
1281
Lastpage :
1289
Abstract :
An algorithm is presented for describing and discriminating binary images of planar shapes. The descriptor is a matrix that the dimensions dependent on the maximum radius of the shape. The descriptor is obtained by a polar quantization of the shape and is independent of the shape´s position, orientation, and size. The descriptors discriminate two or more shapes by measuring their degree of similarity. The shapes considered include letters of the alphabet, numerals, geometrical figures, and physical objects. The results obtained for the letters were compared to those reported by A. Goshtasby (1985). The comparison showed that the proposed algorithm provides a higher degree of discrimination
Keywords :
computerised pattern recognition; computerised picture processing; matrix algebra; alphabet; binary images; computerised pattern recognition; computerised picture processing; geometrical figures; letters; planar shape discrimination; polar quantization; shape matrices; Computer science; Computer science education; Computer vision; Councils; Pattern matching; Pattern recognition; Quantization; Shape measurement; Transmission line matrix methods; Visual perception;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.44049
Filename :
44049
Link To Document :
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