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Relevant features for Gender Classification in NIR Periocular Images

Relevant features for Gender Classification in NIR Periocular Images

Ignacio A. Viedma
Juan Tapia
Andrés Iturriaga
Christoph Busch
    CVBM
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Papers citing "Relevant features for Gender Classification in NIR Periocular Images"

7 / 7 papers shown
Title
Predicting Gender from Iris Texture May Be Harder Than It Seems
Predicting Gender from Iris Texture May Be Harder Than It Seems
Andrey Kuehlkamp
Kevin W. Bowyer
CVBM
39
17
0
25 Nov 2018
A Survey on Periocular Biometrics Research
A Survey on Periocular Biometrics Research
F. Alonso-Fernandez
J. Bigün
CVBM
56
115
0
08 Oct 2018
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder
Maneet Singh
Shruti Nagpal
Mayank Vatsa
Richa Singh
A. Noore
A. Majumdar
33
27
0
08 Oct 2017
Gender-From-Iris or Gender-From-Mascara?
Gender-From-Iris or Gender-From-Mascara?
Andrey Kuehlkamp
Benedict Becker
Kevin W. Bowyer
CVBM
37
31
0
04 Feb 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
698
38,735
0
09 Mar 2016
Iris Codes Classification Using Discriminant and Witness Directions
Iris Codes Classification Using Discriminant and Witness Directions
N. Popescu-Bodorin
V. Balas
I. Motoc
CVBM
48
19
0
28 Oct 2011
Pigment Melanin: Pattern for Iris Recognition
Pigment Melanin: Pattern for Iris Recognition
S. Hosseini
Babak N. Araabi
H. Soltanian-Zadeh
78
135
0
29 Nov 2009

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