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- W2000748831 abstract "Fingerprints are the oldest and most widely used form of biometric identification. Despite the widespread use of fingerprints, there is little statistical theory on the uniqueness of fingerprint minutiae. A critical step in studying the statistics of fingerprint minutiae is to reliably extract minutiae from the fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. In this paper fingerprint image enhancement method, a refined Gabor filter, is presented. This enhancement method can connect the ridge breaks, ensures the maximal gray values located at the ridge center and has the ability to compensate for the nonlinear deformations. The result shows it can improve the performance of image enhancement" @default.
- W2000748831 created "2016-06-24" @default.
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- W2000748831 date "2010-02-26" @default.
- W2000748831 modified "2023-09-25" @default.
- W2000748831 title "Fingerprint image enhancement using Gabor filter" @default.
- W2000748831 doi "https://doi.org/10.1145/1741906.1742144" @default.
- W2000748831 hasPublicationYear "2010" @default.
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