| Texto completo | |
| Autor(es): |
Contreras, Rodrigo Colnago
;
Nonato, Luis Gustavo
;
Boaventura, Maurilio
;
Boaventura, Ines Aparecida Gasparotto
;
Dos Santos, Francisco Lledo
;
Zanin, Rodrigo Bruno
;
Viana, Monique Simplicio
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE ACCESS; v. 10, p. 26-pg., 2022-01-01. |
| Resumo | |
The use of user recognition and authentication systems has become very common and is part of everyday routines for many people, guaranteeing access to the automatic teller machines, entrance to the gym or even to smartphones. Among all the biometrics that can be analyzed in this type of system, the fingerprint is the most considered due to the ease of collection, the uniqueness of each user, and the large amount of solid theories and computational libraries available in the scientific literature. However, in recent years, the falsification of these biometrics with synthetic materials, known as spoofing, has become a real threat to these systems. To circumvent these effects without the addition of hardware devices, techniques based on the analysis of texture pattern descriptors were developed. In this work, we propose a new framework based on steps of data augmentation, image processing and replication, and feature fusion and reduction. The method has as main objective to improve the ability of classifiers, or sets of classifiers, to recognize life in fingerprints. Furthermore, it is proposed a generalization of vector representation of patterns described in matrix form from the systematic use of sets of mapping functions. All the proposed material was analyzed on the well-established benchmark of the Liveness Detection competition of the 2009, 2011, 2013 and 2015 editions, presenting an average accuracy of 97.77% and being a competitive strategy in relation to the other techniques that make up the state of the art of specialized literature. (AU) | |
| Processo FAPESP: | 15/14358-0 - Uso de Simetrias em Análise Visual de Dados Massivos |
| Beneficiário: | Rodrigo Colnago Contreras |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 22/05186-4 - Aprimorando os Sistemas de Autenticação Biométrica por Voz: Robustez Mediante Disfonias de Curta Duração |
| Beneficiário: | Rodrigo Colnago Contreras |
| Modalidade de apoio: | Bolsas no Brasil - Programa Capacitação - Treinamento Técnico |
| Processo FAPESP: | 21/15165-1 - Diagnóstico social com mineração de dados |
| Beneficiário: | Monique Simplicio Viana |
| Modalidade de apoio: | Bolsas no Brasil - Programa Capacitação - Treinamento Técnico |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |