Relevant features for Gender Classification in NIR Periocular Images

Relevant features for Gender Classification in NIR Periocular Images

26 April 2019

Ignacio A. Viedma

Juan Tapia

Andrés Iturriaga

Christoph Busch

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 Andrey Kuehlkamp Kevin W. Bowyer CVBM 39 17 0 25 Nov 2018
A Survey on Periocular Biometrics Research F. Alonso-Fernandez J. Bigün CVBM 56 116 0 08 Oct 2018
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? Andrey Kuehlkamp Benedict Becker Kevin W. Bowyer CVBM 39 31 0 04 Feb 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 752 38,735 0 09 Mar 2016
Iris Codes Classification Using Discriminant and Witness Directions N. Popescu-Bodorin V. Balas I. Motoc CVBM 50 19 0 28 Oct 2011
Pigment Melanin: Pattern for Iris Recognition S. Hosseini Babak N. Araabi H. Soltanian-Zadeh 83 135 0 29 Nov 2009