On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 14 references that are in the map. First posted on arXiv 12 Jul 2022.
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