The human visual recognition ability for incomplete letters

被引：0
|
作者：
Jiang, Yinlai [1 ]
Wang, Shuoyu [1 ]
机构：
[1] Kochi Univ Technol, Dept Intelligent Mech Syst, Kochi, Japan
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The human vision system has high-level recognition abilities and can efficiently and accurately identify an object based on object parts. In the present study, a letter recognition experiment was designed to evaluate recognition of incomplete objects by humans. Five subjects were asked to identify partially erased English letters displayed for short time periods. We found that features and correlations between features significantly influence letter identification. An algorithm based on information entropy is proposed to quantitatively evaluate the importance of letter features and the similarities between letters.
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页码：329 / +
页数：2
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