Biometric & Security

A critical step in automatic fingerprint matching is to automatically and reliably extract minutiae from the input fingerprint images. However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint images.

In order to ensure that the performance of an automatic fingerprint identification/verification system will be robust with respect to the quality of the fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. We have developed a fast fingerprint enhancement algorithm, which can adaptively improve the clarity of ridge and furrow 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 algorithms improves both the goodness index and the verification accuracy.

Relative links about fingerprint

The Classification of Fingerprint

Finger Print Matching

The Optimal Registration

Biometric Technology for Security

This entry was posted on Friday, December 14th, 2007 at 3:15 pm and is filed under Fingerprint, Biometric & Security. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.