Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Hand vein recognition"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 69-86 (2024)
Abstract A novel method based on the cross‐modality intersecting features of the palm‐vein and the palmprint is proposed for identity verification. Capitalising on the unique geometrical relationship between the two biometric modalities, the cros
Externí odkaz:
https://doaj.org/article/68981a0d209e483b9840900e3a0ee729
A Recognition System for Partially Occluded Dorsal Hand Vein Using Improved Biometric Graph Matching
Publikováno v:
IEEE Access, Vol 8, Pp 74525-74534 (2020)
Some portions of dorsal hand may be occluded due to injuries, pigmentation, or tattoos, which significantly affects the performance of dorsal hand vein recognition systems. Biometric graph matching is a common shape-based feature extraction algorithm
Externí odkaz:
https://doaj.org/article/b012ff2d84e342d1911f34ef8065b126
Akademický článek
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Publikováno v:
IET Computer Vision, Vol 12, Iss 5, Pp 586-595 (2018)
The region of interest (ROI) extraction is important in hand vein recognition system. The main challenges for accurate extraction of the vein region are to overcome variability in hand size, lighting conditions, orientation, appearance, noisy backgro
Externí odkaz:
https://doaj.org/article/4f9bcf9b05064267afcf70a87ef68226
Publikováno v:
Sensors, Vol 19, Iss 22, p 5014 (2019)
Vascular pattern based biometric recognition is gaining more and more attention, with a trend towards contactless acquisition. An important requirement for conducting research in vascular pattern recognition are available datasets. These datasets can
Externí odkaz:
https://doaj.org/article/74a36e71eb7a49139be93e871deb0265
Publikováno v:
Sensors, Vol 19, Iss 17, p 3718 (2019)
The dorsal hand vein images captured by cross-device may have great differences in brightness, displacement, rotation angle and size. These deviations must influence greatly the results of dorsal hand vein recognition. To solve these problems, the me
Externí odkaz:
https://doaj.org/article/c2dcbd0411b340a482f04da2fdfcdaad
A Recognition System for Partially Occluded Dorsal Hand Vein Using Improved Biometric Graph Matching
Publikováno v:
IEEE Access, Vol 8, Pp 74525-74534 (2020)
Some portions of dorsal hand may be occluded due to injuries, pigmentation, or tattoos, which significantly affects the performance of dorsal hand vein recognition systems. Biometric graph matching is a common shape-based feature extraction algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50e30a6f63f695e7bc679a5434cc1025
https://ieeexplore.ieee.org/document/9072173/
https://ieeexplore.ieee.org/document/9072173/
Akademický článek
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Publikováno v:
Applied Sciences, Vol 10, Iss 3192, p 3192 (2020)
Applied Sciences
Volume 10
Issue 9
Applied Sciences
Volume 10
Issue 9
This paper presents the development of a hybrid feature&mdash
dorsal hand vein and dorsal geometry&mdash
modality for human recognition. Our proposed hybrid feature extraction method exploits two types of features: dorsal hand geometric-rel
dorsal hand vein and dorsal geometry&mdash
modality for human recognition. Our proposed hybrid feature extraction method exploits two types of features: dorsal hand geometric-rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::918f3f3469b8a439405733ce4cfef465
https://www.mdpi.com/2076-3417/10/9/3192
https://www.mdpi.com/2076-3417/10/9/3192
Autor:
Uhl, Andreas
The investigation of vascular biometric traits has become increasingly popular during the last years. This book chapter provides a comprehensive discussion of the respective state of the art, covering hand-oriented techniques (finger vein, palm vein,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::691cade59aa61531fcf7697476468633
