Mixed neural-traditional classifier for character recognition

Andrzej Stajniak , Jarosław Szostakowski , Sławomir Skoneczny

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.
Author Andrzej Stajniak
Andrzej Stajniak,,
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, Jarosław Szostakowski (FoEE / ICIE)
Jarosław Szostakowski,,
- The Institute of Control and Industrial Electronics
, Sławomir Skoneczny (FoEE / ICIE)
Sławomir Skoneczny,,
- The Institute of Control and Industrial Electronics
Journal series
Issue year1997
Pages102-110
DOIDOI:10.1117/12.266360
URL http://dx.doi.org/10.1117/12.266360
Score (nominal)0
Score sourcejournalList
Publication indicators WoS Citations = 1; GS Citations = 6.0
Citation count*6 (2015-05-14)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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