A methodology for biometric identification using vein geometry in infrared images of the back of the hand

2021 ◽  
Vol 16 (4) ◽  
pp. 135-148
Author(s):  
B. Luna-Benoso ◽  
J. C. Martinez-Perales ◽  
J. Cortes-Galicia
2015 ◽  
Vol 8 ◽  
pp. 1419-1432
Author(s):  
J. C. Martinez Perales ◽  
R. Flores-Carapia ◽  
B. Luna-Benoso

Author(s):  
Snehal S. Rajole ◽  
J. V. Shinde

In this paper we proposed unique technique which is adaptive to noisy images for eye gaze detection as processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. This technique involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the move. The proposed system is tested and results are generated by extensive simulation in java.


Author(s):  
A.A. Astapov ◽  
◽  
D.V. Davydov ◽  
A.I. Egorov ◽  
D.V. Drozdov ◽  
...  

2017 ◽  
Vol 9 (3) ◽  
pp. 235-240
Author(s):  
Shimoga N. B. Bhushan ◽  
. Harisha ◽  
Arti Pawar ◽  
. Vidyalakshmi

1999 ◽  
Vol 117 (1) ◽  
pp. 439-445 ◽  
Author(s):  
P. Persi ◽  
A. R. Marenzi ◽  
A. A. Kaas ◽  
G. Olofsson ◽  
L. Nordh ◽  
...  

2018 ◽  
Vol 1098 ◽  
pp. 012033
Author(s):  
Ying Lin ◽  
Jiafeng Qin ◽  
Weiwei Zhang ◽  
Hao Zhang ◽  
Demeng Bai ◽  
...  

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