Listar Artículos Científicos por autor
Mostrando publicaciones 21-40 de 45
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Fingerprint classification through standard and weighted extreme learning machines
Zabala-Blanco, David; Mora, Marco ; Barrientos, Ricardo ; Hernández-García, Ruber; Naranjo-Torres, José (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 ...
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Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
Zabala-Blanco, David; Quinteros, Axel; Mora, Marco ; Hernández-García, Ruber; Flores-Calero, Marco (2022)Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
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From synthetic data to real palm vein identification: a fine-tuning approach
Hernández-García, Ruber; Salazar-Jurado, Edwin; Barrientos, Ricardo ; Castro, Francisco Manuel; Ramos-Cózar, Julián; Guil, Nicolás (2023)Palm vein recognition has relevant advantages in comparison with most traditional biometrics, such as high security and recognition performance. In recent years, CNN-based models for vascular biometrics have improved the ...
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Generating style-based palm vein synthetic images for the creation of large-scale datasets
Salazar, E.; Hernández-García, Ruber; Barrientos, Ricardo ; Vilches-Ponce, Karina; Mora, Marco ; Vásquez, A. (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 ...
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Heap-based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms
Nowadays, fingerprint is the most used biometric trait for individuals identification. In this area, the state-of-the-art algorithms are very accurate, but when the database contains millions of identities, an acceleration ...
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Individuals identification based on palm vein matching under a parallel environment
Biometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. ...
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Individuals identification using finger veins under a multi-core platform
Nowadays, the individuals identification is a problem in many private company, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. A modern ...
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Iris recognition based on displacementinformation using a sparse matching technique
Iglesias, Philip; Hernández-García, Ruber; Barrientos, Ricardo ; Goncalves, Emmanuel; Mora, Marco (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 ...
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Massive finger-vein identification based on local line binary pattern under parallel and distributed systems
Massive individuals identification is a challenging problem in modern society. Particularly, finger-vein recognition is an emerging biometric technique with several advantages, especially in terms of security against ...
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Mathematical palm vein modeling for large-scale biometric recognition
Individual recognition through palm vein authentication has gained the attention of the scientific community due to its high level of security. However, the algorithms for recognition are validated with a limited number ...
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MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning
López-Cortés, Xaviera A.; Manríquez-Troncoso, José M.; Hernández-García, Ruber; Peralta, Daniel (2024)Introduction: Antimicrobial resistance (AMR) is a global health problem that requires early and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the outcome of infections. Mass Spectrometry ...
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Multi-task extreme learning machine for palm vein multiclassification
Mascaró-Muñnoz, Agustín; Zabala-Blanco, David; Hernández-García, Ruber; Ahumada-García, Roberto; Barrientos, Ricardo (2023)Using biometric systems for individual identification is an alternative that provides excellent data security since this technology uses unique and distinctive information about a person. Palm vein recognition has been ...
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Off-line writer verification based on small segments of handwritten text and convolutional neural networks
This paper proposes a new method for writer identification based on small fragments of handwritten text randomly obtained from a paragraph. The main contribution of this work is to show that small fragments carry enough ...
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Palm vein image quality assessment through natural scene and texture statistics
Niño-Celis, Viviana; Huerta-Santis, Rebeca A.; Salazar-Jurado, Edwin; Hernández-García, Ruber (2023)Palm vein biometrics has emerged as a highly secure and contactless biometric technology. However, various factors reduce the image quality during the acquisition process, limiting the biometric recognition performance, ...
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Palm vein modeling for generating synthetic images with biometric purposes: a geometrical approach
Palm vein-based biometric highlights its contactless acquisition, high precision, and user acceptance. However, the lack of publicly available databases with a large number of individuals challenges the continuous growth ...
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PVEIN-MLELM: a novel palm vein identification approach through multilayer extreme learning machine
Zabala-Blanco, David; Hernández-García, Ruber; Barrientos, Jaime; Ahumada García, Roberto (2022)Biometric identification systems play an essential role in multiple application areas, such as banking services, e-government, and public security, among others. Particularly, palm vein recognition is considered an emerging ...
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SoftVein-WELM: a weighted extreme learning machine model for soft biometrics on palm vein images
Contactless biometric technologies such as palm vein recognition have gained more relevance in the present and immediate future due to the COVID-19 pandemic. Since certain soft biometrics like gender and age can generate ...
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Study of type-III intermittency in the Landau–Lifshitz-Gilbert equation
Bragard, J.; Vélez, J. A.; Riquelme, J. A.; Pérez, L. M.; Hernández-García, Ruber; Barrientos, Ricardo ; Laroze, D. (2021)We have studied a route of chaos in the dissipative Landau–Lifshitz-Gilbert equation representing the magnetization dynamics of an anisotropic nanoparticle subjected to a time-variant magnetic field. This equation presents ...
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The extreme learning machine algorithm for classifying fingerprints
Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...
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Towards the generation of synthetic images of palm vein patterns: a review
Salazar-Jurado, Edwin; Hernández-García, Ruber; Vilches-Ponce, Karina; Barrientos, Ricardo ; Mora, Marco ; Gaurav, Jaswal (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 ...