Resumen

AGUILAR-TORRES, G.; SANCHEZ-PEREZ, G.; TOSCANO-MEDINA, K.  y  PEREZ-MEANA, H.. Fingerprint Recognition Using Local Features and Hu Moments. J. appl. res. technol [online]. 2012, vol.10, n.5, pp.745-754. ISSN 2448-6736.

Person identification systems based on fingerprint patterns called Automatic Fingerprint Identification Systems, AFIS, are some of the most widely used biometric methods since they provide a high degree of success. The accuracy of AFIS is mainly due to some unique characteristics called minutiae, which are points where a curve track finishes, intersects with another curve track, or branches off. During past decades several efficient minutia-based fingerprint recognition algorithms have been proposed which achieve false recognition rates close to 1%, however, their recognition rate may be still improved. To this end, this paper presents a fingerprint recognition method using a combination of the Fast Fourier Transform (FFT) with Gabor filters for image enhancement. Next, fingerprint recognition is carried out using a novel recognition stage based on Local Features and Hu invariant moments for verification.

Palabras llave : AFIS; FFT; Gabor filters; Hu invariant moments; minutiae; recognition.