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- W2920239826 abstract "Decision based on fingerprint image quality is crucial for automatic fingerprint classification and recognition tasks. Quality is challenging due to a variety of noise types that may exist in an image. Researches have been conducted to propose suitable combination of techniques for assessing fingerprint quality, however, it is difficult to achieve a generic solution for different data sets. This work proposes a fingerprint image quality indicator based on directional information inherent in fingerprint ridges and evaluates a metric for quality assessment. Experimental results on Fingerprint Verification Competition (FVC) data sets demonstrate the usability of the proposed index." @default.
- W2920239826 created "2019-03-11" @default.
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- W2920239826 date "2019-01-01" @default.
- W2920239826 modified "2023-10-14" @default.
- W2920239826 title "Fingerprint Image Quality Assessment Based on Oriented Pattern Analysis" @default.
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- W2920239826 doi "https://doi.org/10.1007/978-3-030-13469-3_74" @default.
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