The paper describes an approach to low-resolution character recognition for real-time applications based on a set of binary classifiers designed by means of Sub-machine-code Genetic Programming (SmcGP). SmcGP is a type of GP that interprets long integers as bit strings to achieve SIMD processing on traditional sequential computers. The method was tested on an extensive set of very low-resolution binary patterns (of size 13 x 8 pixels) that represent digits from 0 to 9. Ten binary classifiers were designed, each corresponding to a pattern class. In case of no response by any of the classifiers, a reference LVQ classifier was used. The paper compares the resulting classifier with a reference classifier, showing an almost 10-fold improvement in speed, at the price of a slightly lower accuracy.

Efficient low-resolution character recognition using Sub-Machine Code Genetic Programming / Adorni, G.; Cagnoni, Stefano; Gori, M.; Mordonini, Monica. - (2002), pp. 35-46.

Efficient low-resolution character recognition using Sub-Machine Code Genetic Programming

CAGNONI, Stefano;MORDONINI, Monica
2002-01-01

Abstract

The paper describes an approach to low-resolution character recognition for real-time applications based on a set of binary classifiers designed by means of Sub-machine-code Genetic Programming (SmcGP). SmcGP is a type of GP that interprets long integers as bit strings to achieve SIMD processing on traditional sequential computers. The method was tested on an extensive set of very low-resolution binary patterns (of size 13 x 8 pixels) that represent digits from 0 to 9. Ten binary classifiers were designed, each corresponding to a pattern class. In case of no response by any of the classifiers, a reference LVQ classifier was used. The paper compares the resulting classifier with a reference classifier, showing an almost 10-fold improvement in speed, at the price of a slightly lower accuracy.
3790815446
Efficient low-resolution character recognition using Sub-Machine Code Genetic Programming / Adorni, G.; Cagnoni, Stefano; Gori, M.; Mordonini, Monica. - (2002), pp. 35-46.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/1450176
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