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- W895897768 abstract "As a classical linear tool, Linear Discriminate Analysis (LDA) has been widely used in the field of pattern recognition. For reducing the effect caused by the errors of parameter estimation of LDA. A Modified Linear Discriminate Analysis (MLDA) algorithm, which is used to improve the performance of LDA in Chinese character recognition is proposed. Based on MLDA, this paper also proposes a two-stage LDA recognition scheme for Chinese character recognition, MLDA+LDA. Experimental results on 1034 categories of Chinese character from 350 sets of samples are given. With minimum distance classifier and LDA plus minimum distance classifier, the recognition rate has been increased by 3.77% and 1.71% respectively which shows the efficiency of the proposed approach." @default.
- W895897768 created "2016-06-24" @default.
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- W895897768 date "2006-12-01" @default.
- W895897768 modified "2023-09-27" @default.
- W895897768 title "MLDA+LDA:手写汉字识别中一种两级LDA分类方法" @default.
- W895897768 hasPublicationYear "2006" @default.
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