A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
- Authors:
- USP affiliated authors: NONATO, LUIS GUSTAVO - ICMC ; CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-87897-9_39
- Subjects: DATILOSCOPIA; RECONHECIMENTO DE PADRÕES; PROCESSAMENTO DE SINAIS
- Keywords: Liveness detection; Spoofing detection; Fingerprint authentication system; Dense SIFT; Pattern recognition
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- Volume/Número/Paginação/Ano: v. 12855, part 1, p. 442-455, 2021
- Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 10 fev. 2026. , 2021 -
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39 -
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39 -
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39 - NE-Motion: visual analysis of stroke patients using motion sensor networks
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Informações sobre o DOI: 10.1007/978-3-030-87897-9_39 (Fonte: oaDOI API)
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