A method based on the continuous spectrum analysis for fingerprint image ridge distance estimation

Authors:
Xiaosi Zhan;Zhaocai Sun;Yilong Yin;Yayun Chu
Affiliations:
Computer Department, Fuyang Normal College, Fuyang, P.R. China;School of Computer Science & Technology, Shandong University, Jinan, P.R. China;School of Computer Science & Technology, Shandong University, Jinan, P.R. China;Computer Department, Fuyang Normal College, Fuyang, P.R. China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

As one kind of image having strong texture character, ridge distance is the important attribute of fingerprint image. It is important to estimate the ridge distance correctly for improving the performance of the automatic fingerprint identification system. The traditional Fourier transform spectral analysis method had the worse redundancy degree in estimating the ridge distance because it was based on the two-dimension discrete Fourier spectrum. The paper introduces the sampling theorem into the fingerprint image ridge distance estimation method, transforms the discrete spectrum into two-dimension continuous spectrum and obtains the ridge distance on the frequency field. The experimental results indicate that the ridge distance obtained from this method is more accurate and has improved the rate of accuracy of the automatic fingerprint identification system to a certain extent.