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The accuracy of handwritten Chinese character recognition can be improved by pair discrimination of similar characters. In this paper, we propose a new method for combining the baseline classifier with incomplete pair discriminators to better exploit their complementariness. The outputs of the baseline classifier and pair discriminators are transformed to two-class probabilities, which are then fused...
In this paper, we propose a linear discriminant analysis (LDA)-based compound distance measure for discriminating similar characters in handwritten Chinese character recognition. The previous compound Mahalanobis function (CMF) is shown to be a special case of the proposed method. On finding similar character pairs by cross-validation using a baseline classifier, LDA is applied to each similar pair,...
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