On Demographic Bias in Fingerprint Recognition

Author:

Godbole Akash1,Grosz Steven A.1,Nandakumar Karthik2,Jain Anil K.1

Affiliation:

1. Michigan State University,Department of Computer Science and Engineering,East Lansing,MI,USA,48824

2. Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),Abu Dhabi,UAE

Publisher

IEEE

Reference42 articles.

1. NIST Special Database 4;National Institute of Standards and Technology,2010

2. Handbook of Fingerprint Recognition

3. Sex and gender: what is the difference?

4. Race and ethnicity: How are they different?;blakemore;National Geographic,2021

5. An other-race effect for face recognition algorithms

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1. Capture Biases in Fingerprint Systems;2023 International Conference on Cyberworlds (CW);2023-10-03

2. We Are Also Metabolites: Towards Understanding the Composition of Sweat on Fingertips via Hyperspectral Imaging;Digital;2023-06-19

3. Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

4. A Novel Time-Series Database of Finger Hypercubes Before and After Hand Sanitization with Demographics;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

5. There is an elephant in the room: towards a critique on the use of fairness in biometrics;AI and Ethics;2022-12-22

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