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@InProceedings{AndrezzaPrBoSiBaGo:2018:NoFiQu,
               author = "Andrezza, Igor Lucena Peixoto and Primo, Jo{\~a}o Janduy 
                         Brasileiro and Borges, Erick Vagner Cabral de Lima and Silva, 
                         Arnaldo Gualberto de Andrade e and Batista, Leonardo Vidal and 
                         Gomes, Herman Martins",
          affiliation = "Vsoft and {Universidade Federal de Campina Grande} and Vsoft and 
                         Vsoft and {Universidade Federal da Paraiba} and {Universidade 
                         Federal de Campina Grande}",
                title = "A Novel Fingerprint Quality Assessment Based on Gabor Filters",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Biometrics, Fingerprint, Quality, Gabor.",
             abstract = "Fingerprints are the most widely deployed biometric 
                         characteristics. However, the recognition of a fingerprint may be 
                         influenced by a lot of factors (e.g., skin conditions, sensor 
                         conditions) and a matching algorithm is highly affected by the 
                         quality of the images involved. This work proposes a novel method 
                         for Fingerprint Quality Assessment (FQA) based on the analysis of 
                         the Gabor filters response on a fingerprint image. The correlation 
                         between the worst quality templates and the matching score has 
                         also been analyzed. The method is validated on FVC2000DB3, 
                         FVC2004DB2, FVC2004DB3, and FVC2006DB3 databases. This work was 
                         compared to other FQAs in order to evaluate performance and with 
                         different matching algorithms for fair comparison. The results 
                         found pointed that the proposed method is able to identify the 
                         images which most affect the error rates of an AFIS, better than 
                         the other methods presented in the literature.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "Oct. 29 - Nov. 1, 2018",
             language = "en",
           targetfile = "PID5547019.pdf",
        urlaccessdate = "2020, Dec. 04"
}


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