Contactless Multispectral Palm-Vein Recognition With Lightweight Convolutional Neural Network
The development of information technology has made it possible to replace traditional keys and passwords with biometric recognition. Among the various human recognition technologies, contactless palm-vein authentication is becoming increasingly popular because it is hygienic and safe. In the field o...
Enregistré dans:
Auteurs principaux: | Yung-Yao Chen, Chih-Hsien Hsia, Ping-Han Chen |
---|---|
Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/12db00b71822455498b214fba8d9d4e6 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Real-Time Dorsal Hand Recognition Based on Smartphone
par: Mohamed I. Sayed, et autres
Publié: (2021) -
AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK
par: LAWRENCE OMOTOSHO, et autres
Publié: (2021) -
Radar signal recognition based on triplet convolutional neural network
par: Lutao Liu, et autres
Publié: (2021) -
Human Gait Recognition: A Single Stream Optimal Deep Learning Features Fusion
par: Faizan Saleem, et autres
Publié: (2021) -
Effect on speech emotion classification of a feature selection approach using a convolutional neural network
par: Ammar Amjad, et autres
Publié: (2021)