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
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