Title :
Fingerprint image enhancement: algorithm and performance evaluation
Author :
Hong, Lin ; Wan, Yifei ; Jain, Anil
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
fDate :
8/1/1998 12:00:00 AM
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
Keywords :
feature extraction; filtering theory; fingerprint identification; image enhancement; Gabor filters; biometrics; feature extraction; fingerprint identification; fingerprint verification system; goodness index; image enhancement; minutiae extraction; performance evaluation; ridge orientation; Bifurcation; Biometrics; Data mining; Fingerprint recognition; Frequency estimation; Gabor filters; Image enhancement; Image matching; Pattern recognition; Robustness;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
