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Symmetry 2018, 10(4), 78; https://doi.org/10.3390/sym10040078

Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset

1
School of Software Enginnering, Tongji University, Shanghai 201804, China
2
Institute of Intelligent Automotive, Tongji University, Shanghai 201804, China
*
Author to whom correspondence should be addressed.
Received: 7 March 2018 / Revised: 18 March 2018 / Accepted: 19 March 2018 / Published: 21 March 2018
(This article belongs to the Special Issue Deep Learning-Based Biometric Technologies)
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Abstract

Among the members of biometric identifiers, the palmprint and the palmvein have received significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper, we investigate the problem of palmprint/palmvein recognition and propose a Deep Convolutional Neural Network (DCNN) based scheme, namely P a l m R CNN (short for palmprint/palmvein recognition using CNNs). The effectiveness and efficiency of P a l m R CNN have been verified through extensive experiments conducted on benchmark datasets. In addition, though substantial effort has been devoted to palmvein recognition, it is still quite difficult for the researchers to know the potential discriminating capability of the contactless palmvein. One of the root reasons is that a large-scale and publicly available dataset comprising high-quality, contactless palmvein images is still lacking. To this end, a user-friendly acquisition device for collecting high quality contactless palmvein images is at first designed and developed in this work. Then, a large-scale palmvein image dataset is established, comprising 12,000 images acquired from 600 different palms in two separate collection sessions. The collected dataset now is publicly available. View Full-Text
Keywords: biometrics; palmprint and palmvein recognition; palmvein dataset; deep convolutional neural networks (DCNN) biometrics; palmprint and palmvein recognition; palmvein dataset; deep convolutional neural networks (DCNN)
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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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Zhang, L.; Cheng, Z.; Shen, Y.; Wang, D. Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset. Symmetry 2018, 10, 78.

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