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Conditioning of extreme learning machine for noisy data using heuristic optimization
(2020)
This article provides a tool that can be used in the exact sciences to obtain good approximations to reality when noisy data is inevitable. Two heuristic optimization algorithms are implemented: Simulated Annealing and ...
Extreme learning machine adapted to noise based on optimization algorithms
(2020)
The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this ...
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 ...
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 ...