the adoption of linear discriminant analysis method of character recognition, reach a higher recognition rate. Given the many experimental results Recognition

Recogniztion_2004_05_18
.......................\Classify.m
.......................\FeatureExtract.m
.......................\FormatZero.m
.......................\MeanClass.m
.......................\ReadDB.m
.......................\Recognition.m
.......................\text
.......................\....\all.txt
.......................\....\all_LDA_1_Result.txt
.......................\....\all_LDA_2_Result.txt
.......................\....\all_LDA_C_MH_Result.txt
.......................\....\all_LDA_C_M_Result.txt
.......................\....\all_LDA_C_Result.txt
.......................\....\all_PCA_1_Result.txt
.......................\....\all_PCA_1_Result1.txt
.......................\....\all_PCA_2_Result.txt
.......................\....\all_PCA_C_MH_Result.txt
.......................\....\all_PCA_C_M_Result.txt
.......................\....\all_PCA_C_Result.txt
.......................\....\one.txt
.......................\....\one_PCA_1_Result.txt
.......................\....\one_PCA_2_Result.txt
.......................\....\one_PCA_C_Result.txt
.......................\....\one_PCA_M_Result.txt
.......................\....\one_PCA_S_Result.txt
.......................\....\test.txt
.......................\....\test_LDA_C_MH_Result.txt
.......................\....\test_LDA_C_Result.txt
.......................\....\test_PCA_C_MH_Result.txt
.......................\....\test_PCA_C_M_Result.txt
.......................\....\新建 文本文档.txt

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