Utility Prediction Performance of Finger Image Quality Assessment Software
Author:
Affiliation:
1. Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
Funder
German Federal Ministry of Education and Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10345972/10345773/10345978.pdf?arnumber=10345978
Reference13 articles.
1. Fingerprint image quality
2. NFIQ 2 NIST Fingerprint Image Quality
3. MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
4. Biometrics for public sector applications - part 3: Application profiles, function modules and processes;BSI Technical Guideline TR-03121–3
5. Information technology - Biometric sample quality - Part 4: Finger image data;International Standard ISO/IEC 29794–4,2017
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1. Utility-based performance evaluation of biometric sample quality measures;EURASIP Journal on Image and Video Processing;2024-09-09
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