A New Multi-filter Framework with Statistical Dense SIFT Descriptor for Spoofing Detection in Fingerprint Authentication Systems-Reference-Cited by-同舟云学术

A New Multi-filter Framework with Statistical Dense SIFT Descriptor for Spoofing Detection in Fingerprint Authentication Systems

Published:2021 Issue: Volume: Page:442-455
ISSN:0302-9743
Container-title:Artificial Intelligence and Soft Computing
language:
Short-container-title:

Author:

Contreras Rodrigo Colnago^ORCID,Nonato Luis Gustavo^ORCID,Boaventura Maurílio^ORCID,Boaventura Inês Aparecida Gasparotto^ORCID,Coelho Bruno Gomes^ORCID,Viana Monique Simplicio^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87897-9_39

Reference46 articles.

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3. Ali, S.S., Baghel, V.S., Ganapathi, I.I., Prakash, S.: Robust biometric authentication system with a secure user template. Image Vis. Comput. 104, 104004 (2020)

4. Alshdadi, A., Mehboob, R., Dawood, H., Alassafi, M.O., Alghamdi, R., Dawood, H.: Exploiting level 1 and level 3 features of fingerprints for liveness detection. Biomed. Sig. Process. Control 61, 102039 (2020)

5. Annapurani, K., Sadiq, M., Malathy, C.: Fusion of shape of the ear and tragus-a unique feature extraction method for ear authentication system. Expert Syst. Appl. 42(1), 649–656 (2015)

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