Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective

2D adaptive Chebyshev band-pass filter (ACBF) with orientation-selective, a novel fingerprint enhancement filter, is designed in this paper. The fingerprint enhancement is deeply rooted in the spectra diffusion by performing the 2D ACBF with orientation-selective in the frequency domain. The process of the enhancement is to have two phases: fingerprint is first enhanced by using Gabor filter and histogram equalization (HE), and then the pre-enhanced fingerprint is enhanced based on spectra diffusion by using the 2D ACBF with orientation-selective in frequency domain. In the first stage, the fingerprint quality can be improved in some extent. In the second stage, first, the qualities of patches are evaluated by the coherence of point orientations. Second, the adaptive parameters of the 2D ACBF are estimated, further, the 2D ACBF with orientation-selective is designed. Finally, the fingerprint image is enhanced based on spectra diffusion by using the 2D ACBF with orientation-selective. Experimental results on the database of FVC2000 and FVC2004 show that the proposed method achieves better results in comparison with other methods, and can significantly improves the performance of automatic fingerprint identification system (AFIS).