A fuzzy statistical rule generation method for handwriting recognition

被引：0

作者：

Peters, L ^{[1
]}

Leja, C ^{[1
]}

Malaviya, A ^{[1
]}

机构：

[1] German Natl Res Ctr Informat Technol, Sch Birlinghoven, D-53754 St Augustin, Germany

来源：

EXPERT SYSTEMS | 1998年 / 15卷 / 01期

关键词：

rule generation; fuzzy logic; handwriting recognition;

D O I：

10.1111/1468-0394.00062

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a statistical approach for rule-base generation of handwriting recognition. The proposed method integrates the heuristic feature selection with the statistical evaluation and thus improves the performance of the rule generation as well as of the fuzzy handwriting recognition system. Fuzzy statistical measures are employed to identify relevant features from a given large handwriting database. First an automatic rule-base mechanism is presented. The reduce the time needed for this generation mechanism an additional heuristic feature selection step is introduced. Tests show that this generated rule-base improved the recognition results over previous approaches.

引用

页码：48 / 56

页数：9

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