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- W2123135318 abstract "High-quality images are a prerequisite for accurate matching of fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded or corrupted due to variations in skin and impression conditions. Thus, fingerprint images must be enhanced before use. In this work, we demonstrate the efficacy of applying type-2 fuzzy logic to fingerprint image enhancement when the input is pre-processed by the Hong's algorithm. We have measured the fuzzy quality visually and quantitatively to note the effectiveness of the proposed technique for enhancement." @default.
- W2123135318 created "2016-06-24" @default.
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- W2123135318 date "2009-01-01" @default.
- W2123135318 modified "2023-10-03" @default.
- W2123135318 title "Fingerprint Image Enhancement Using Type-2 Fuzzy Sets" @default.
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- W2123135318 doi "https://doi.org/10.1109/fskd.2009.396" @default.
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