Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yassir Aberni"'
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2020, 136, pp.101-110. ⟨10.1016/j.patrec.2020.05.030⟩
Pattern Recognition Letters, Elsevier, 2020, 136, pp.101-110. ⟨10.1016/j.patrec.2020.05.030⟩
Among the various biometric traits that can be extracted from the hand, the palm vein structure that represents a reliable and secure source for identifying and/or verifying the identity of a person. Several recognition methods were proposed in the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e72dbf2bd808960c059cbb5660d60b0
https://doi.org/10.1016/j.patrec.2020.05.030
https://doi.org/10.1016/j.patrec.2020.05.030
Publikováno v:
2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16d35dfd450b316d7b30e179b3c9db02
https://doi.org/10.1109/biosmart54244.2021.9677799
https://doi.org/10.1109/biosmart54244.2021.9677799
Publikováno v:
AHS
This paper proposes a novel palm vein recognition method based on a competitive coding scheme using 2D log Gabor filtres. The proposed method consists of two major steps: (i) inspired by the bitwise competitive coding, the feature extraction employs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a00dbaf5a36b0eb4ad07add582006d71
https://doi.org/10.1109/ahs.2018.8541451
https://doi.org/10.1109/ahs.2018.8541451
Publikováno v:
TSP 2017
TSP 2017, IEEE (Institue of Electrical and Electronics Engineers), 2017, 2017 40th International Conference on Telecommunications and Signal Processing, pp.793-797. ⟨10.1109/TSP.2017.8076097⟩
TSP
TSP 2017, IEEE (Institue of Electrical and Electronics Engineers), 2017, 2017 40th International Conference on Telecommunications and Signal Processing, pp.793-797. ⟨10.1109/TSP.2017.8076097⟩
TSP
Biometrics is a growing research field due to an increasing demand for safety and security in both the public and private. Biometric recognition refers to the identification of a person by analyzing its physiological and/or behavioral traits. Among s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5af472cdfb26b37d930c11417d269943
https://hal-univ-paris8.archives-ouvertes.fr/hal-03259338
https://hal-univ-paris8.archives-ouvertes.fr/hal-03259338
Publikováno v:
Journal of Circuits, Systems and Computers. 28:1950107
Multispectral palmprint recognition has been investigated for many problems and applications over the last decade. It has become one of the most well-known biometric recognition systems. Its success is due to the rich features that can be extracted a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e64a3c203c5a8b9fa62363c0ca5433e
https://doi.org/10.1142/s021812661950107x
https://doi.org/10.1142/s021812661950107x