Buscar
Mostrando publicaciones 1-8 de 8
Heuristic parametrization of anisotropic diffusion filtering
(2019)
The methods of evolutionary computation allow to set optimal values in a space of solutions from a candidate set. In this work, we have used evolutionary methods, for optimal parameters setting of the anisotropic diffusion ...
Identification of immunoglobulin gene usage in immune repertoires sequenced by nanopore technology
(2019)
The immunoglobulin receptor represents a central molecule in acquired immunity. The complete set of immunoglobulins present in an individual is known as immunological repertoire. The identification of this repertoire is ...
Individuals identification based on palm vein matching under a parallel environment
(2019)
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. ...
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 ...
Heap-based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms
(2019)
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 ...
Massive finger-vein identification based on local line binary pattern under parallel and distributed systems
(2019)
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 ...
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 ...
Evaluation of LBP-based descriptors for iris recognition based on learning vector quantization classifier under a multi-core platform
(2019)
In recent years, iris recognition techniques have focused the attention on the biometric area. Particularly, the performance of an iris recognition system depends on the representation of the texture of the images. In this ...