New hybrid arabic handwriting recognizer
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Date
2012
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Publisher
IEEE
Abstract
Recently, there is a popular belief that classifier
combination of different architecture could complement each
other for improving results performance. In this paper we
introduce a framework to combine results of multiple classifiers
for offline Arabic handwriting recognition, by introducing a new
scheme of combination of Multi Layer Perceptron and ART1
networks. Besides using two different recognition architectures
(MLP and ART1 networks), we exploit various feature sets
calculated from the contour of image; the Hu moments and
features obtained with sliding windows. The implementation
results on IFN/ENIT database show a high degree of accuracy by
applying the majority vote method.
Description
Keywords
ART1 network, Combining classifier, Hu moment, Multi layer perceptron