STROKE-BASED HANDWRITTEN CHINESE CHARACTER-RECOGNITION USING NEURAL NETWORKS

被引：2
|
作者：
LIAO, HY
HUANG, JS
HUANG, ST
机构：
来源：
PATTERN RECOGNITION LETTERS | 1993年 / 14卷 / 10期
关键词：
HANDWRITTEN CHARACTER RECOGNITION; HOPFIELD NEURAL NETWORK; CONSTRAINT SATISFACTION;
D O I：
10.1016/0167-8655(93)90066-M
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 proposes a neural network approach to solving the handwritten Chinese character recognition problem. A two-dimensional Hopfield network is employed to provide a more general formulation such that some difficult problems in the Chinese character recognition system are implicitly solved.
引用
收藏
页码：833 / 840
页数：8
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