Biometric recognition model using deep convolutional neural networks and computer vision

Authentication of the person by means of unique features such as finger veins is used in various fields such as security.In this research, a verification method based on convolutional neural networks with the help of computer vision is proposed.Through experimentation, it was possible to create an a...

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Autores principales: Christian Ovalle, Daniel Sumire Qquenta, Julian Nestor Vilca Sucapuca, Rebeca Sumire Qquenta
Formato: Ponencia
Lenguaje:inglés
Publicado: 2023
Materias:
biometric identification
finger vein recognition
user authentication
image verification
convolutional neural networks
VGG16
MobileNet
model training time
Biometric Identification and Security
Face recognition and analysis
User Authentication and Security Systems
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Internet

https://doi.org/10.18687/laccei2023.1.1.492
https://laccei.org/LACCEI2023-BuenosAires/papers/Contribution_492_a.pdf
http://dx.doi.org/10.18687/laccei2023.1.1.492

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