MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
Author:
Affiliation:
1. Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
2. Technical University of Darmstadt,Darmstadt,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9484326/9484328/09484404.pdf?arnumber=9484404
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Utility-based performance evaluation of biometric sample quality measures;EURASIP Journal on Image and Video Processing;2024-09-09
2. Tiny Partial Fingerprint Sensor Quality Assessment;IEEE Sensors Letters;2024-05
3. Advancing Fingerprint Recognition Quality Assessment: Introducing the FRBQ Metric for Enhanced Fingerprint Recognition;Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing;2023-12-15
4. Utility Prediction Performance of Finger Image Quality Assessment Software;2023 International Conference of the Biometrics Special Interest Group (BIOSIG);2023-09-20
5. Considerations on the Evaluation of Biometric Quality Assessment Algorithms;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023
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