| L. Hong, A. Jain, S. Pankanti, and R. Bolle, "Fingerprint enhancement," IEEE WACV, May 1996. |
....200 0 0.2 0.4 0.6 0. 8 1 (b) Figure 17: An even symmetric Gabor filter: a) Gabor filter tuned to 60 cycles width and 0 o orientation; b) corresponding modulation transfer function (MTF) 10] Fingerprint enhancement approaches [55, 56, 57, 58] often employ frequency domain techniques [56, 59, 55] and are computationally demanding. In a small local neighborhood, the ridges and furrows approximately form a two dimensional sinusoidal wave along the direction orthogonal to local ridge orientation. Thus, the ridges and furrows in a small local neighborhood have well defined local frequency and ....
L. Hong, A. K. Jain, S. Pankanti, and R. Bolle. Fingerprint enhancement. In Proc. 1st IEEE WACV, pages 202--207, Sarasota, FL, 1996.
....graylevel fingerprint images [2, 15, 8, 18, 19] However, they usually assume that the local ridge orientations can be reliably estimated. In practice, this assumption is not valid for fingerprint images of poor quality, which greatly restricts the applicability of these techniques. Hong etal: [4] proposed a decomposition method to estimate the orientation field from a set of filtered images obtained by applying a bank of Gabor filters on the input fingerprint images. Although this algorithm can obtain a reliable orientation estimate even for corrupted images, it is computationally ....
L. Hong, A. K. Jain, S. Pankanti, and R. Bolle. Fingerprint enhancement. In Proc. 1st IEEE WACV, pages 202--207, Sarasota, FL, 1996.
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L. Hong, A. Jain, S. Pankanti, and R. Bolle, "Fingerprint enhancement," IEEE WACV, May 1996.
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