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- W578625166 abstract "The performance of a fingerprint authentication system in electronic business depends on the accurate analysis of the quality of input fingerprints. This paper investigates distorted and misaligned fingerprints caused by environmental noise such as oil, wrinkles, dry skin, dirt and displacement of the query fingerprint with the database fingerprint template during matching. The noisy, distorted and/or misaligned fingerprint produced as a 2-D on x-y image, is enhanced and optimized using a new hybrid modified Gabor filter-hierarchal structure check (MGF-HSC) system model based on an MGF integrated with a HSC. Our findings indicate that structural matching is experimentally confirmed as a reliable matching technique in a fingerprint authentication system, as distorted fingerprints can easily be matched, even when the pixel value detected is low, while the rotational and geometrical transformation that affects fingerprint authentication is addressed. The MGF-HSC approach minimizes false fingerprint matching and the dominant effect of distortion and misalignment of fingerprints to an acceptable level. Our approach, which is benchmarked with publicly available methods, deals with 60 % heavy distortions and misaligned fingerprint and exhibits reliable matching performance for promising e-business security work in terms of visual quality, false rejection rate and false acceptance rate." @default.
- W578625166 created "2016-06-24" @default.
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- W578625166 date "2015-01-01" @default.
- W578625166 modified "2023-10-07" @default.
- W578625166 title "Performance Evaluation of Fingerprint Biometrics Systems for e-Business Access Control" @default.
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- W578625166 doi "https://doi.org/10.1007/978-3-319-16886-9_28" @default.
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