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Mostrando publicaciones 11-15 de 15
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 ...
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 ...
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 ...
Accelerated biometric fingerprint search on a multi-GPU environment
(2023)
One of the largest biometric databases in Chile is fingerprints, which is also the most widely used biometric in the national context. In this sense, it is relevant to have efficient algorithms in execution time on this ...