DocumentCode :
3173815
Title :
Vector templates and handprinted digit recognition
Author :
Parker, J.R.
Author_Institution :
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
Volume :
2
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
457
Abstract :
While a multitude of template matching strategies have been applied to printed text recognition, the variation seen in handprinted characters generally reduces the usefulness of this technique. What is suggested in this paper is the use of scalable vector templates, which can be used to generate a template with the same scale and line width attributes as an arbitrary input character image. The best match is the template having the smallest total distance between black pixels. Multiple templates are used for each character and digits only are used as a sample data set
Keywords :
optical character recognition; handprinted digit recognition; scalable vector templates; Character generation; Character recognition; Computer science; Computer vision; Humans; Laboratories; Machine learning; Shape; Skeleton; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
Type :
conf
DOI :
10.1109/ICPR.1994.576981
Filename :
576981
Link To Document :
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