Convolutional Autoencoder Model for Finger-Vein Verification

This paper presents a novel deep learning-based method that integrates a Convolutional Auto-Encoder (CAE) with support vector machine (SVM) for finger-vein verification. The CAE is used to learn the features from finger-vein images, and the SVM is used to classify finger vein from these learned feat...

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Bibliographic Details
Published in:	IEEE transactions on instrumentation and measurement Vol. 69; no. 5; pp. 2067 - 2074
Main Authors:	Hou, Borui, Yan, Ruqiang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.05.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Biometrics Coders convolutional autoencoder (CAE) Convolutional codes Deep learning Feature extraction finger-vein Fingers Gabor filters Image classification Image reconstruction Machine learning support vector machine (SVM) Support vector machines Veins Verification
ISSN:	0018-9456, 1557-9662
Online Access:	Get full text
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