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Symmetry 2018, 10(4), 96; https://doi.org/10.3390/sym10040096

A Novel Multimodal Biometrics Recognition Model Based on Stacked ELM and CCA Methods

College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
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Received: 11 February 2018 / Revised: 26 March 2018 / Accepted: 28 March 2018 / Published: 4 April 2018
(This article belongs to the Special Issue Deep Learning-Based Biometric Technologies)
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Abstract

Multimodal biometrics combine a variety of biological features to have a significant impact on identification performance, which is a newly developed trend in biometrics identification technology. This study proposes a novel multimodal biometrics recognition model based on the stacked extreme learning machines (ELMs) and canonical correlation analysis (CCA) methods. The model, which has a symmetric structure, is found to have high potential for multimodal biometrics. The model works as follows. First, it learns the hidden-layer representation of biological images using extreme learning machines layer by layer. Second, the canonical correlation analysis method is applied to map the representation to a feature space, which is used to reconstruct the multimodal image feature representation. Third, the reconstructed features are used as the input of a classifier for supervised training and output. To verify the validity and efficiency of the method, we adopt it for new hybrid datasets obtained from typical face image datasets and finger-vein image datasets. Our experimental results demonstrate that our model performs better than traditional methods. View Full-Text
Keywords: multimodal biometrics; extreme learning machine; canonical correlation analysis; deep network multimodal biometrics; extreme learning machine; canonical correlation analysis; deep network
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Yang, J.; Sun, W.; Liu, N.; Chen, Y.; Wang, Y.; Han, S. A Novel Multimodal Biometrics Recognition Model Based on Stacked ELM and CCA Methods. Symmetry 2018, 10, 96.

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