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

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