Modular neural networks with fuzzy sugeno integral response integration for face and fingerprint recognition

被引：0
|
作者：
Melin, P [1 ]
Mancilla, A [1 ]
Gonzalez, C [1 ]
Bravo, D [1 ]
机构：
[1] Tijuana Inst Technol, Dept Comp Sci, Tijuana, Mexico
来源：
IC-AI '04 & MLMTA'04 , VOL 1 AND 2, PROCEEDINGS | 2004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：
We describe in this paper a new approach for pattern recognition using modular neural networks with a fuzzy logic method for response integration. We proposed a new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces and fingerprints. Also, the method for achieving response integration is based on the fuzzy Sugeno integral with some modifications. Response integration is required to combine the outputs of all the modules in the modular network. We have applied the new approach for fingerprint and face recognition with a real database from students of our institution.
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页码：91 / 97
页数：7
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