Fingerprint image enhancement: algorithm and performance evaluation

Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI
IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 4.8). 09/1998; DOI: 10.1109/34.709565
Source: IEEE Xplore

ABSTRACT In order to ensure that the performance of an automatic
fingerprint identification/verification system will be robust with
respect to the quality of input fingerprint images, it is essential to
incorporate a fingerprint enhancement algorithm in the minutiae
extraction module. We present a fast fingerprint enhancement algorithm,
which can adaptively improve the clarity of ridge and valley structures
of input fingerprint images based on the estimated local ridge
orientation and frequency. We have evaluated the performance of the
image enhancement algorithm using the goodness index of the extracted
minutiae and the accuracy of an online fingerprint verification system.
Experimental results show that incorporating the enhancement algorithm
improves both the goodness index and the verification accuracy

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