A NONLINEAR NORMALIZATION METHOD FOR HAND-PRINTED KANJI CHARACTER-RECOGNITION LINE DENSITY EQUALIZATION

被引：98
|
作者：
YAMADA, H
YAMAMOTO, K
SAITO, T
机构：
[1] Machine Understanding Division, Electrotechnical Laboratory, Tsukuba, Ibaraki-ken
来源：
PATTERN RECOGNITION | 1990年 / 23卷 / 09期
关键词：
Handprinted character recognition; Line density equalization; Nonlinear normalization; Shape normalization;
D O I：
10.1016/0031-3203(90)90110-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A nonlinear normalization method, the "line density equalization", is proposed, where a resampling is done so as to equate the product of a local line density and a (variable) sampling pitch. Consequently, the line density in the space is homogenized, the efficiency of utilization of the space is increased, and a stable normalization is obtained for partially irregular shape variations. The method was applied to handprinted Kanji character recognition, and its effectiveness has been demonstrated. © 1990.
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页码：1023 / 1029
页数：7
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