Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Moises Diaz Cabrera"'
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0123254 (2015)
A handwritten signature is the final response to a complex cognitive and neuromuscular process which is the result of the learning process. Because of the many factors involved in signing, it is possible to study the signature from many points of vie
Externí odkaz:
https://doaj.org/article/43e8ae92260d49c49e6d803069fb142b
Autor:
Moises Diaz Cabrera, Angelo Marcelli, Antonio Parziale, Gioele Crispo, Miguel Ángel Ferrer Ballester
Publikováno v:
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
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The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of complex and long handwriting from static images. Complex specimens can res
Autor:
Aythami Morales, Miguel Ferrer, Moises Diaz-Cabrera, Javier Galbally, Julian Fierrez, Marta Gomez-Barrero
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
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This is the author’s version of a work that was accepted for publication in Pattern Recognition . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms
Publikováno v:
Expert Systems with Applications. 42:3911-3923
A method to detect traffic lights both during day and night is designed.A mixed method based on fuzzy logic and sequential rules is developed.The distance between vehicle and traffic light is calculated using Bayesian filters.Different results and te
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 37:667-680
In this paper we propose a new method for generating synthetic handwritten signature images for biometric applications. The procedures we introduce imitate the mechanism of motor equivalence which divides human handwriting into two steps: the working
Publikováno v:
ICCST
Publikováno v:
ICFHR
Biblos-e Archivo. Repositorio Institucional de la UAM
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Biblos-e Archivo. Repositorio Institucional de la UAM
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Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective wor
Publikováno v:
ICFHR
The handwriting signature is one of the most popular behavioral biometric traits for person recognition. Such recognition systems capture the personal signing behaviour and its variability based on a limited number of enrolled signatures. In this pap