%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2006/08.24.14.34
%2 sid.inpe.br/sibgrapi@80/2006/08.24.14.34.03
%@doi 10.1109/SIBGRAPI.2006.25
%T Improved FingerCode Matching Function
%D 2006
%A de Sá, Gustavo Ferreira Cradoso,
%A Lotufo, Roberto de Alencar,
%@affiliation Universidade Estadual de Campinas
%@affiliation Unversidade Estadual de Campinas
%E Oliveira Neto, Manuel Menezes de,
%E Carceroni, Rodrigo Lima,
%B Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
%C Manaus, AM, Brazil
%8 8-11 Oct. 2006
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K Fingerprint, FingerCode.
%X 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.
%@language en
%3 PID282231.pdf