Title :
Classification of similar line-drawing patterns with attributed graph matching
Author_Institution :
Dept. of Comput. Sci., Chungbuk Nat. Univ., South Korea
Abstract :
A model-based scheme for classifying similar line-drawing patterns by attributed graph matching in the absence of any information concerning their pose (translation, rotation and scale) is proposed. Experimental results for two classes of line-drawing, each consisting of a number of similar patterns (hand-drawn electrical symbols and seal imprints), confirmed that the proposed scheme might be feasible for practical applications
Keywords :
graph theory; pattern recognition; picture processing; attributed graph matching; hand-drawn electrical symbols; line-drawing pattern recognition; pattern classification; seal imprints; Circuits; Computer science; Equations; Humans; Joining processes; Pattern classification; Pattern matching; Seals; Shape; Transforms;
Conference_Titel :
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location :
Cambridge, MA
DOI :
10.1109/ICSMC.1989.71461
