Fingerprint Recognition Using Local Features


  • Gualberto Aguilar Instituto Politécnico Nacional
  • Gabriel Sánchez Instituto Politécnico Nacional
  • Karina Toscano Instituto Politécnico Nacional
  • Mariko Nakano Instituto Politécnico Nacional
  • Héctor Pérez Instituto Politécnico Nacional


AFIS, FFT, gabor filters, minutiae, recognition


Fingerprint recognition is one of the most popular methods used for identification with greater degree of success. The fingerprint has unique characteristics called minutiae, which are points where a curve track finishes, intersect or branches off. Identification systems using fingerprints biometric patterns are called AFIS (Automatic Fingerprint Identification System). In this work a method for Fingerprint recognition is considered using a combination of Fast Fourier Transform (FFT) and Gabor Filters for image enhancement and later a novel method of recognition using local features.

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Author Biographies

Gualberto Aguilar, Instituto Politécnico Nacional

ESIME Culhuacan

Gabriel Sánchez, Instituto Politécnico Nacional

ESIME Culhuacan

Karina Toscano, Instituto Politécnico Nacional

ESIME Culhuacan

Mariko Nakano, Instituto Politécnico Nacional

ESIME Culhuacan

Héctor Pérez, Instituto Politécnico Nacional

ESIME Culhuacan


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How to Cite

Aguilar, G., Sánchez, G., Toscano, K., Nakano, M., & Pérez , H. (2013). Fingerprint Recognition Using Local Features. Revista Facultad De Ingeniería Universidad De Antioquia, (46), 101–109. Retrieved from