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Mostrando publicaciones 41-50 de 56
Towards the generation of synthetic images of palm vein patterns: a review
(2023)
With the recent success of computer vision and deep learning, remarkable progress has been achieved on
automatic personal recognition using vein biometrics. However, collecting large-scale real-world training
data for ...
Aspectos éticos del uso de identificadores biométricos
(2020)
La biometría ha tenido una rápida expansión como tecnología, siendo cada vez más accesible para el público general, prestando utilidad a los gobiernos y a la sociedad en el manejo de la seguridad ciudadana. Se aplica ya ...
Fast finger vein recognition based on sparse matching algorithm under a multicore platform for real-time individuals identification
(2019)
Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein ...
Generating style-based palm vein synthetic images for the creation of large-scale datasets
(2021)
Individuals recognition through their biometric traits is an essential component of modern society. The recent literature includes several works based on palm vein recognition for individual identification, being a very ...
Automatic generation of synthetic palm vein images: a nature-based approach
(2021)
Biometric systems are essential in modern society because of the growing demand for security. Palm vein patterns have become an emerging biometric trait during the last decade. Despite that, the publicly available datasets ...
Training of an extreme learning machine autoencoder based on an iterative shrinkage-thresholding optimization algorithm
(2022)
Orthogonal transformations, proper decomposition, and the Moore–Penrose inverse are traditional methods of obtaining the output layer weights for an extreme learning machine autoencoder. However, an increase in the number ...
Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling
(2022)
The implementation of artificial intelligence (AI) in parallel with remote sensing could be a powerful tool to manage irrigation scheduling on crops with narrow thresholds between water stress levels, such as cherry trees. ...
Parallel methods for linear systems solution in extreme learning machines: an overview
(2020)
This paper aims to present an updated review of parallel algorithms for solving square and rectangular single and double precision matrix linear systems using multi-core central processing units and graphic processing ...
Iris recognition based on displacementinformation using a sparse matching technique
(2019)
Iris recognition is one of the most promising fields in biometrics. During the image acquisition, images are affected by surrounding parts of the eye such as eyelids or eyelashes. Besides, deformations of the iris image ...
Fingerprint classification through standard and weighted extreme learning machines
(2020)
Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this ...