Off-fine Signature Recognition by Integrated Neural Networks

被引：0
|
作者：
Zhang, Lei [1 ]
Chen, Xiaorong [1 ]
Chen, Xiaozhu
机构：
[1] Guizhou Univ, Comp Sci & Technol Coll, Guiyang 550025, Peoples R China
来源：
PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL III: MODELLING AND SIMULATION IN ELECTRONICS, COMPUTING, AND BIO-MEDICINE | 2008年
关键词：
Off-line signature recognition; evidence theory; Integration Neural Networks; fusion;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The purpose of this thesis is to propose an off-line automatic recognition system based on an Integrated Neural Networks (INN) which is composed of three modules, namely, Feature-distributed Network (FDN), Neural Network Classifier (NNC) and Decision-fusion Network (DFN). In the system, a specific classifier was created for each signature. A recognition training set was constructed for each classifier in order to solve the problems of off-line signature recognition and verification. Finally, the theoretical and practical possibilities were verified through the experiment conducted in the thesis.
引用
收藏
页码：455 / 460
页数：6
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