Title :
Vector templates for symbol recognition
Author :
Parker, J.R. ; Pivovarov, Juraj ; Royko, Dominik
Author_Institution :
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
Abstract :
Template matching is rarely used for symbol recognition in practice because of the variation in scale, orientation, and line thickness and position found in actual images. An answer to this is to use an adaptable template, one that can be scaled and rotated easily. Here the use of such a template, based on vector representation of symbols, is explored. Results from handprinted digits and electronic symbols are presented
Keywords :
handwritten character recognition; image segmentation; image thinning; adaptable template; electronic symbols; handprinted digits; symbol recognition; vector representation; vector templates; Character recognition; Computer science; Computer vision; Electronic circuits; Humans; Image segmentation; Laboratories; Machine learning; Shape; Skeleton;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906146
