Model-based on-line handwritten digit recognition

被引：0
|
作者：
Li, XL [1 ]
Plamondon, R [1 ]
Parizeau, M [1 ]
机构：
[1] Ecole Polytech, Lab Scribens, Montreal, PQ H3C 3A7, Canada
来源：
FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998年
关键词：
D O I：
暂无
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 presents a hidden Markov model (HMM) based approach to on-line handwritten digit recognition using stroke sequences. In this approach, a character instance is represented by a sequence of symbolic strokes, and the representation is obtained by component segmentation and stroke classification. The component segmentation is based on the delta lognormal model of handwriting generation. The symbolic strokes are used for HMM multiple observation training or recognition. A training and recognition experiment has been conducted using the above techniques.
引用
收藏
页码：1134 / 1136
页数：3
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