MCLFIQ: Mobile Contactless Fingerprint Image Quality
Author:
Affiliation:
1. Da/sec Biometrics and Security Research Group, Hochschule Darmstadt, Darmstadt, Germany
2. Center for Digital Safety and Security, AIT Austrian Institute of Technology, Vienna, Austria
3. HID Global, Jena, Germany
Funder
German Federal Ministry of Education and Research
Hessian Ministry of Higher Education, Research, Science and the Arts within their Joint Support of the National Research Center for Applied Cybersecurity ATHENE
Austrian Research Promotion Agency (FFG) through Project BioCapture
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8423754/10490303/10473152.pdf?arnumber=10473152
Reference42 articles.
1. An overview of touchless 2D fingerprint recognition
2. Contactless Fingerprint Recognition Using Deep Learning—A Systematic Review
3. A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions
4. Mobile Contactless Fingerprint Recognition: Implementation, Performance and Usability Aspects
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1. Toward Synthetic Physical Fingerprint Targets;Sensors;2024-04-29
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