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@InProceedings{OliveiraNasSilOliTei:2017:CoStFi,
               author = "Oliveira, Ad{\~a}o Henrique de and Nascimento, Valfride Wallace 
                         do and Silva, Gabriel Roson da and Oliveira, Jirlon and Teixeira, 
                         Raoni F. S.",
          affiliation = "{School of Engineering of V{\'a}rzea Grande UFMT - Federal 
                         University of Mato Grosso} and {School of Engineering of 
                         V{\'a}rzea Grande UFMT - Federal University of Mato Grosso} and 
                         {School of Engineering of V{\'a}rzea Grande UFMT - Federal 
                         University of Mato Grosso} and {School of Engineering of 
                         V{\'a}rzea Grande UFMT - Federal University of Mato Grosso} and 
                         {School of Engineering of V{\'a}rzea Grande UFMT - Federal 
                         University of Mato Grosso}",
                title = "A Comparative Study of Fingerprint Quality on High-Resolution 
                         Images",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "fingerprint, quality, pores.",
             abstract = "The quality assessment of sets of features extracted from patterns 
                         of epidermal ridges on our fingers is a biometric challenge 
                         problem with implications on questions concerning security, 
                         privacy and identity fraud. In this work, we compare eight quality 
                         indexes by using error reject curves. Experimental results show 
                         that the indexes based on ridge orientation (namely OCL and 
                         Coherence Sum index) have proved to be effective as a performance 
                         predictor and as a filter excluding low-quality features in a 
                         recognition process.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PKJ4R2",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PKJ4R2",
           targetfile = "example (3).pdf",
        urlaccessdate = "2021, Jan. 21"
}


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