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On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition

The effect of image quality degradation on the verification performance of automatic fingerprint recognition is investigated. We study the performance of two fingerprint matchers based on minutiae and ridge information under varying fingerprint image quality. The ridge-based system is found to be more robust to image quality degradation than the minutiae-based system for a number of different image quality criteria.

preprint2022arXivOpen access
Julian Fierrez-AguilarLuis-Miguel Muñoz-SerranoFernando Alonso-FernandezJavier Ortega-Garcia
eess.IVComputer Vision
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Open access4 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Julian Fierrez-AguilarLuis-Miguel Muñoz-SerranoFernando Alonso-FernandezJavier Ortega-Garcia

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