@InProceedings{CostaBellSilv:2016:BiId3D,
               author = "Costa, Henrique S{\'e}rgio Gutierrez da and Bellon, Olga Regina 
                         Pereira and Silva, Luciano",
          affiliation = "{Universidade Federal do Paran{\'a}} and {Universidade Federal do 
                         Paran{\'a}} and {Universidade Federal do Paran{\'a}}",
                title = "Biometric Identification with 3D Fingerprints Acquired Through 
                         Optical Coherence Tomography",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "3D Fingerprints, Biometric Identification, Optical Coherence 
                         Tomography.",
             abstract = "A method to obtain epidermal and dermal 3D fingerprints from 
                         high-resolution images acquired using Optical Coherence Tomography 
                         (OCT) is proposed. This method addresses limitations of current 3D 
                         reconstruction techniques such as depth and resolution variations, 
                         sensitivity to low illumination and poor contrast. The 
                         availability of these fingerprints made possible the creation of 
                         new identification techniques that benefit from the rich 
                         information available in 3D. We propose a 3D fingerprint matching 
                         process based on KH maps, which are 2D representations of 
                         curvature types extracted by computing the Gaussian and mean 
                         curvatures from a region of interest around minutiae.The matching 
                         strategy, a two-step approach, relies on local gradient patterns 
                         (LGP) of the KH maps to narrow the search space, followed by a 
                         similarity matching, normalized cross correlation. The accuracy 
                         and matching compatibility, comparable or improved in relation to 
                         the 2D matching methods, is verified through matching 3D 
                         fingerprints from two databases one acquired using OCT and a 
                         public database. An OCT 3D fingerprint database, the first 
                         acquired this technology to our knowledge, contains images of 
                         people of different ages, genders, ethnicity and cases of 
                         alterations as scars, abrasion and scratches. We investigate the 
                         applicability of our method to the identification of altered 
                         fingerprints. In these cases, the 3D dermal fingerprint, 
                         compatible with the epidermis, is employed.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M9RGC8",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9RGC8",
           targetfile = "SIBGRAPI_2016_Teses_Dissertacoes_CAMERA_READY_FINAL.pdf",
        urlaccessdate = "2024, May 02"
}