currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development

Packet : 820362文字识别程序.zip filelist
10002.dat
20001.dat
30022.dat
40001.dat
50096.dat
60001.dat
bu.bmp
dd.txt
ge.bmp
h.exe
ji.bmp
liang.bmp
Models/
Models/svm_网格特征_4×4.txt
MyOCR.exe
nn.txt
Readme.txt
SkinMagic/
SkinMagic.dll
SkinMagic/corona.smf
you.bmp
zhong.bmp

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