DocumentCode :
1811619
Title :
The estimation of error bounds and feature selection in large character set recognition
Author :
Xiao-Jei Huang ; Yuo-Shou Wu ; Xiao-qing, Ding
Author_Institution :
Electron. & Inf. Eng. Dept., Tsinghua Univ., Beijing, China
fYear :
1988
fDate :
14-17 Nov 1988
Firstpage :
1242
Abstract :
Based on the reduction of entropy, the analysis of the estimation of error bounds is discussed. This estimation is simple in computation and is associated with a scatter matrix of classes. For the case of a large character set, a novel definition of separability of classes is proposed. It is simple in computation and can be used to evaluate error bounds and to choose a subset of features with minimum loss of information
Keywords :
character recognition; entropy; character set recognition; entropy reduction; error bounds; feature selection; separability of classes; Character recognition; Entropy; Equations; Estimation error; Information analysis; Information theory; Scattering; Uncertainty; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28482
Filename :
28482
Link To Document :
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