Stochastic topology with elastic matching for off-line handwritten character recognition

被引：4
|
作者：
Lim, JH
Teh, HH
Lui, HC
Wang, PZ
机构：
[1] Neuro ISS Laboratory, Institute of Systems Science, National University of Singapore, Kent Ridge, 0511, Heng Mui Keng Terrace
来源：
PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 02期
关键词：
topological maps; fuzzy clustering; elastic matching; incremental learning;
D O I：
10.1016/0167-8655(95)00103-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a novel approach called Stochastic Topology with Elastic Matching (STEM) for off-line handwritten character recognition. Fitting characters as topological maps, STEM incrementally learns stochastic prototypes from examples with elastic matching. Experimental results on NIST digit database and connection to deformable models are also presented.
引用
收藏
页码：149 / 154
页数：6
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