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Method to Assess the Temporal Persistence of Potential Biometric
  Features: Application to Oculomotor, and Gait-Related Databases

Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases

13 September 2016
Lee Friedman
Ioannis Rigas
Mark S. Nixon
Oleg V. Komogortsev
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases"

4 / 4 papers shown
Title
Linear regression analysis of template aging in iris biometrics
Linear regression analysis of template aging in iris biometrics
Mateusz Trokielewicz
29
15
0
01 Sep 2018
A Study on the Extraction and Analysis of a Large Set of Eye Movement
  Features during Reading
A Study on the Extraction and Analysis of a Large Set of Eye Movement Features during Reading
Ioannis Rigas
Lee Friedman
Oleg V. Komogortsev
24
3
0
27 Mar 2017
A Score-level Fusion Method for Eye Movement Biometrics
A Score-level Fusion Method for Eye Movement Biometrics
Anjith George
Aurobinda Routray
44
86
0
13 Jan 2016
Fitting Linear Mixed-Effects Models using lme4
Fitting Linear Mixed-Effects Models using lme4
D. Bates
M. Machler
B. Bolker
Steven C. Walker
KELM
81
72,020
0
23 Jun 2014
1