Multimodal biometrics recognition based on local fusion visual features and variational Bayesian extreme learning machine-Reference-Cited by-同舟云学术

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Multimodal biometrics recognition based on local fusion visual features and variational Bayesian extreme learning machine

Published:2016-12 Issue: Volume:64 Page:93-103
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Yarui,Yang Jucheng,Wang Chao,Liu Na

Funder

National Natural Science Foundation of China

Tianjin science and technology support program

Tianjin Research Program of Application Foundation and Advanced Technology

Foundation of Educational Commission of Tianjin City, China

Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference43 articles.

1. Non-stationary feature fusion of face and palmprint multimodal biometrics;Ahmad;Neurocomputing,2016

2. Feature level fusion using hand and face biometrics;Arun,2005

3. A new automatic target recognition system based on wavelet extreme learning machine;Avci;Expert Systems with Applications,2012

4. A new method for expert target recognition system: genetic wavelet extreme learning machine (GAWELM);Avci;Expert Systems with Applications,2013

5. Person identification using multiples cues;Brunelli;IEEE Transactions on Pattern Analysis and Machine Intelligence,1995

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