Open AccessFingerprint Ridge Frequency Estimation in the Fourier Domain
Author(s) -
Victor Valeriu Patriciu,
Stelian Spînu
Publication year - 2014
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2014.04014
Subject(s) - fingerprint (computing) , ridge , frequency domain , computer science , artificial intelligence , pattern recognition (psychology) , feature extraction , feature (linguistics) , computer vision , fourier transform , fingerprint recognition , estimation , mathematics , geography , engineering , cartography , mathematical analysis , systems engineering , linguistics , philosophy
Ridge frequency is an important parameter in fingerprint image processing and feature extraction. However, ridge frequency estimation is a difficult task in noisy fingerprint images. A simple and accurate method for the computation of fingerprint ridge frequency using the Fourier spectrum is proposed. The results of the experiments conducted on a collection of fingerprints as well as a quantitative method for performance evaluation based on a Gabor filter-bank are presented. The proposed method is robust with respect to noise and reliable frequency images are obtained