Handwritten Bangla Digit Recognition Using Hierarchical Bayesian Network

被引：10
|
作者：
Xu, Jin-wen [1 ]
Xu, Jinhua [1 ]
Lu, Yue [1 ]
机构：
[1] E China Normal Univ, Dept Comp Sci & Technol, Shanghai 200062, Peoples R China
来源：
2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2008年
关键词：
D O I：
10.1109/ISKE.2008.4731093
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A hierarchical Bayesian network is used for handwritten Bangla digit recognition. Rather than extracted feature vectors, original digit images are used as the network input directly. The network is trained on handwritten samples. And then it's tested on untrained images and hand-drawn digits. An average recognition accuracy of 87.5 is achieved. The system exhibits robust invariant recognition with respect to considerable object noise which is quite common in handwritten digits.
引用
收藏
页码：1096 / 1099
页数：4
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