@InProceedings{SilvaFrei:2002:WaCoFu,
               author = "Silva, Andr{\'e}a Vergara da and Freitas, Daniel Santana de",
                title = "Wavelet-based compared to function-based on-line signature 
                         verification",
            booktitle = "Proceedings...",
                 year = "2002",
               editor = "Gon{\c{c}}alves, Luiz Marcos Garcia and Musse, Soraia Raupp and 
                         Comba, Jo{\~a}o Luiz Dihl and Giraldi, Gilson and Dreux, 
                         Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 15. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Fortaleza, CE, Brazil, from October 7 
                         to 10.",
             abstract = "We implemented two direct methods for on-line signature 
                         verification. First, data produced by a graphics tablet describing 
                         a signature to be tested are treated with wavelet transforms to 
                         generate features to be nonlinearly confronted with a reference 
                         signature chosen among 10 previously stored tryings from the same 
                         writer. In order to recover the time dependence lost in the 
                         wavelet treatment, we included the level of departure from the 
                         diagonal line in the warping function as a complementary measure 
                         of distance. In a second approach, the functions x(t) and y(t) 
                         describing position in time of each pixel of the same test 
                         signature were directly (though nonlinearly) compared to their 
                         counterparts from the reference. We concluded that both approaches 
                         showed good fidelity to all details in the signatures, with 
                         acceptable false rejection rates (we obtained around 30% FRR) to 
                         this kind of biometry. On the other hand, the inclusion of the 
                         wavelet transform turned out to be an essential step for the 
                         achievement of low false acceptation rates. It was only with the 
                         inclusion of the wavelet transform, in the right level of 
                         resolution, that we managed to completely prevent trained 
                         forgeries to be accepted (0% FAR) in the cases studied.",
  conference-location = "Fortaleza, CE, Brazil",
      conference-year = "10-10 Oct. 2002",
                  doi = "10.1109/SIBGRA.2002.1167146",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2002.1167146",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/vRTs3",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/vRTs3",
           targetfile = "82.pdf",
        urlaccessdate = "2024, Apr. 29"
}