Estimation of Fingerprint Orientation Field by Weighted 2D Fourier Expansion Model
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition(2010)
摘要
Accurate estimation of fingerprint orientation field is an essential module in fingerprint recognition. This paper proposes a novel technique for improving fingerprint orientation field estimation by fingerprint orientation model based on weighted 2D fourier expansion(W-FOMFE). The motivation for the proposed method can be found by: 1)the original FOMFE is sensitive to abrupt changes in orientation field; 2) blocks of different quality should have different impacts on FOMFE. Thus, we take into account the information of the Harris-corner strength (HCS) for orientation field estimation. In our method, we first calculate the fingerprint' HCS; then use the HCS to remove abrupt changes in orientation field; finally, incorporate the normalized HCS as weighted value into original FOMFE. We test our method on FVC2004DB1. Experimental results show that our method (W-FOMFE) has better orientation field estimation than FOMFE.
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关键词
fingerprint hcs,orientation field estimation,fingerprint identification,fourier expansion,fourier analysis,fingerprint orientation field,weighted 2d fourier expansion model,fingerprint orientation model,w-fomfe,harris-corner strength,normalized hcs,accurate estimation,estimation theory,original fomfe,weighted 2d fourier expansion,fingerprint orientation field estimation,orientation field,abrupt change,fingerprint recognition,fvc2004db1,fingerprint orientation,databases,mathematical model,noise,estimation
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