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A multi-directional gradient with bi-geometric calculus to detect contours in images with multiplicative noise
(2018)
In this paper a new operator is presented for the detection of contours in images with multiplicative noise, by using the operations introduced in the bi-geometric calculus, since recent results in the literature show that ...
Contour detection in images with speckle by using the bi-geometric structure
(2019)
The speckle produces severe degradations in digital images, which could be introduced by technological devices during the acquisition, capture or transmission of the images. This perturbation affects, for instance, medical ...
Writer verification based on simple graphemes and extreme learning machine approaches
(2020)
Traditional literature presents complex biometric sources, descriptors, and classifiers to solve the writer's verification problem. The simple graphemes have been studied recently considering classifiers such as multilayer ...
Parallel training of a set of online sequential extreme learning machines
(2022)
Size databases have constantly increased from advances in technology and the Internet, so processing this vast amount of information has been a great challenge. The neural network Extreme Learning Machine (ELM) have been ...
A new fast training algorithm for autoencoder neural networks based on extreme learning machine
(2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
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 ...
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 ...
A comprehensive review of extreme learning machine on medical imaging
(2023)
The feedforward neural network based on randomization has been of great interest in the scientific community, particularly extreme learning machines, due to its simplicity, training speed, and levels of accuracy comparable ...