Demographic Effects in Latent Fingerprint Matching and their Relation to Image Quality-Reference-Cited by-同舟云学术

Demographic Effects in Latent Fingerprint Matching and their Relation to Image Quality

Published:2022-03-11 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Machine Learning Technologies (ICMLT)
language:
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Author:

Marasco Emanuela¹,He Mengling²,Tang Larry²,Tao Yuanting¹

Affiliation:

1. Center for Secure Information Systems, George Mason University_Cyber Security and Biometric Research(CySBeR) Lab, USA

2. Department of Statistics and National Center for Forensic Science, University of Central Florida, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529399.3529427

Reference30 articles.

1. Kai Cao Dinh-Luan Nguyen Cori Tymoszek and Anil K. Jain. 2018. End-to-End Latent Fingerprint Search. arXiv preprint arXiv:1812.10213(2018). Kai Cao Dinh-Luan Nguyen Cori Tymoszek and Anil K. Jain. 2018. End-to-End Latent Fingerprint Search. arXiv preprint arXiv:1812.10213(2018).

2. Nancy R Cook. 2008. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. Clin Chem. Jan;54(1)(2008) 17–23. Nancy R Cook. 2008. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. Clin Chem. Jan;54(1)(2008) 17–23.

3. Tabassi Elham and Grotherand Patrick . 2009. Fingerprint Image Quality . Springer US , Boston, MA , 482–490. https://doi.org/10.1007/978-0-387-73003-5_52 10.1007/978-0-387-73003-5_52 Tabassi Elham and Grotherand Patrick. 2009. Fingerprint Image Quality. Springer US, Boston, MA, 482–490. https://doi.org/10.1007/978-0-387-73003-5_52

4. Understanding the sufficiency of information for latent fingerprint value determinations

5. Demographic Effects in Facial Recognition and Their Dependence on Image Acquisition: An Evaluation of Eleven Commercial Systems

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