Artificial neural network fusion: Application to Arabic words recognition
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چکیده
The study of multiple classifier systems has become recently an area of intensive research in pattern recognition in order to improve the results of single classifiers. In this work, two types of features combination for handwritten Arabic literal words amount recognition, using neural network classifiers are discussed. Different parallel combination schemes are presented and their results compared with a single classifier benchmark using a complete feature set.
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تاریخ انتشار 2005