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Fingerprint Ridge Frequency Estimation in the Fourier DomainPATRICIU, V.-V. , SPINU, S.
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biometrics, feature extraction, fingerprint recognition, identification of persons, spectral analysis
fingerprint(20), recognition(15), pattern(12), image(12), enhancement(9), jain(7), ridge(6), filtering(6), gabor(5), filter(5)
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About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 95 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04014
Web of Science Accession Number: 000348772500014
SCOPUS ID: 84921634128
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.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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