50 years of biometric research: Accomplishments, challenges, and opportunities
Biometric recognition refers to the automated recognition of individuals based on their
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …
Comparison of human and computer performance across face recognition experiments
PJ Phillips, AJ O'toole - Image and Vision Computing, 2014 - Elsevier
Since 2005, human and computer performance has been systematically compared as part of
face recognition competitions, with results being reported for both still and video imagery …
face recognition competitions, with results being reported for both still and video imagery …
[图书][B] Face recognition vendor test (fvrt): Part 3, demographic effects
P Grother, M Ngan, K Hanaoka - 2019 - pages.nist.gov
EXECUTIVE SUMMARY OVERVIEW This is the third in a series of reports on ongoing face
recognition vendor tests (FRVT) executed by the National Institute of Standards and …
recognition vendor tests (FRVT) executed by the National Institute of Standards and …
Demographic bias in biometrics: A survey on an emerging challenge
P Drozdowski, C Rathgeb, A Dantcheva… - … on Technology and …, 2020 - ieeexplore.ieee.org
Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …
commercial, and governmental identity management applications. Both cooperative (eg …
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Previous generations of face recognition algorithms differ in accuracy for images of different
races (race bias). Here, we present the possible underlying factors (data-driven and …
races (race bias). Here, we present the possible underlying factors (data-driven and …
Designing disaggregated evaluations of ai systems: Choices, considerations, and tradeoffs
Disaggregated evaluations of AI systems, in which system performance is assessed and
reported separately for different groups of people, are conceptually simple. However, their …
reported separately for different groups of people, are conceptually simple. However, their …
Identity from variation: Representations of faces derived from multiple instances
Research in face recognition has tended to focus on discriminating between individuals, or
“telling people apart.” It has recently become clear that it is also necessary to understand …
“telling people apart.” It has recently become clear that it is also necessary to understand …
Analysis of gender inequality in face recognition accuracy
We present a comprehensive analysis of how and why face recognition accuracy differs
between men and women. We show that accuracy is lower for women due to the …
between men and women. We show that accuracy is lower for women due to the …
Gendered differences in face recognition accuracy explained by hairstyles, makeup, and facial morphology
Media reports have accused face recognition of being “biased”,“sexist” and “racist”. There is
consensus in the research literature that face recognition accuracy is lower for females, who …
consensus in the research literature that face recognition accuracy is lower for females, who …
Longitudinal study of automatic face recognition
L Best-Rowden, AK Jain - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
The two underlying premises of automatic face recognition are uniqueness and
permanence. This paper investigates the permanence property by addressing the following …
permanence. This paper investigates the permanence property by addressing the following …