Using projections for preclassification of character shape

Angelo Marcelli; Theo Pavlidis

doi:10.1117/12.171106

23 March 1994 Using projections for preclassification of character shape

Angelo Marcelli, Theo Pavlidis

Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171106
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

Simple techniques for character recognition do not perform very well, but they are fast compared to more effective but also more complex methods. In this paper we describe how such simple techniques can be used as preprocessors for eliminating possibilities that the main classifier has to deal with. This is achieved in three different ways: by attempting a segmentation of word into characters, by reducing the number of the prototypes to match with the sample, and by providing a set of constraints for the matching. Experiments on an address data base provided by the U.S. Postal Service have shown that the method reduces the classification time by almost 60%, while it does not introduce any errors.

Citation Download Citation

Angelo Marcelli and Theo Pavlidis "Using projections for preclassification of character shape", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171106

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