@InProceedings{SáLotu:2006:ImFiMa,
author = "de S{\'a}, Gustavo Ferreira Cradoso and Lotufo, Roberto de
Alencar",
affiliation = "{Universidade Estadual de Campinas} and {Unversidade Estadual de
Campinas}",
title = "Improved FingerCode Matching Function",
booktitle = "Proceedings...",
year = "2006",
editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Fingerprint, FingerCode.",
abstract = "FingerCode is a fingerprint correlation matching scheme that
relies on texture information. In this scheme, the oriented
components are extracted from a fingerprint image using a bank of
Gabor filters, and a directional texture feature vector is
computed for each oriented component. The feature vectors from the
input and template images are compared and a matching score is
obtained. Here we explore ways to improve the matching score for
the FingerCode method by using more complex matching functions.
The best results were obtained by applying a nonlinear function to
the texture values and weighting the texture vectors based on the
spatial distribution.",
conference-location = "Manaus, AM, Brazil",
conference-year = "8-11 Oct. 2006",
doi = "10.1109/SIBGRAPI.2006.25",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2006.25",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/MfuNQ",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/MfuNQ",
targetfile = "PID282231.pdf",
urlaccessdate = "2025, Feb. 16"
}