Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion-Reference-Cited by-同舟云学术

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Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion

Published:2019-04-24 Issue:16 Volume:78 Page:22743-22772
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tiong Leslie Ching Ow,Kim Seong Tae,Ro Yong Man

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-7618-0.pdf

Reference64 articles.

1. Ahmad MI, Woo WL, Dlay S (2016) Non-stationary feature fusion of face and palmprint multimodal biometrics. Neurocomputing 177:49–61. https://doi.org/10.1016/j.neucom.2015.11.003

2. Ahuja K, Islam R, Barbhuiya FA, Dey K (2017) Convolutional neural networks for ocular smartphone-based biometrics. Pattern Recogn Lett 91:17–26. https://doi.org/10.1016/j.patrec.2017.04.002

3. BBC News. In: BBC. http://www.bbc.com/news

4. Bharati MH, Liu JJ, MacGregor JF (2004) Image texture analysis: methods and comparisons. Chemom Intell Lab Syst 72:57–71. https://doi.org/10.1016/j.chemolab.2004.02.005

5. Cao Z, Yin Q, Tang X, Sun J (2010) Face recognition with learning-based descriptor. In: Int Conf Comput Vis Pattern Recognit (CVPR). IEEE, San Francisco, CA, USA, p 2707–2714

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