Mixed neural-traditional classifier for character recognition

Andrzej Stajniak; Jaroslaw Szostakowski; Slawomir Skoneczny

doi:10.1117/12.266360

7 February 1997 Mixed neural-traditional classifier for character recognition

Andrzej Stajniak, Jaroslaw Szostakowski, Slawomir Skoneczny

Proceedings Volume 2949, Imaging Sciences and Display Technologies; (1997) https://doi.org/10.1117/12.266360
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

Abstract

In this paper, we present the efficient voting classifier for the recognition of handwritten and printed characters. This system consists of three voting nonlinear classifiers: two of them based on the multilayer perceptron, and one uses the moments method. The combination of these kinds of systems shows superiority of neural techniques applied with classical against exclusive traditional approach and results in high percentage of correctly recognized characters. Also, we present a comparison of the recognition results.

Citation Download Citation

Andrzej Stajniak, Jaroslaw Szostakowski, and Slawomir Skoneczny "Mixed neural-traditional classifier for character recognition", Proc. SPIE 2949, Imaging Sciences and Display Technologies, (7 February 1997); https://doi.org/10.1117/12.266360

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