  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.
