Neural and fuzzy methods in handwriting recognition

被引：33

作者：

Gader, PD

Keller, JM

Krishnapuram, R

Chiang, JH

Mohamed, MA

机构：

[1] Dept. of Comp. Eng. and Comp. Sci., University of Missouri

[2] Environ. Res. Institute of Michigan, Honeywell Syst. and Research Center

来源：

COMPUTER | 1997年 / 30卷 / 02期

关键词：

Decision making - Dynamic programming - Fuzzy sets - Image segmentation - Neural networks - Postal services - Robustness (control systems) - Statistical methods;

D O I：

10.1109/2.566164

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Handwriting recognition has challenged computer scientists for years. To succeed, a computing solution must ably recognize complex character patterns and represent imprecise, commonsense knowledge about the general appearance of characters, words, and phrases.

引用

页码：79 / 86

页数：8

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