a new fingerprint matching approach using level 2 and level 3 features
Fingerprint friction ridge details are generally described in a hierarchical order at three levels, namely, Level 1 (pattern), Level 2 (minutiae points) and Level 3 (pores and ridge shape). Although high resolution sensors (~ 1000dpi) have become commercially available and have made it possible to reliably extract Level 3 features, most Automated Fingerprint Identification Systems (AFIS) employ only Level 1 and Level 2 features. As a result, increasing the scan resolution does not provide any matching performance improvement. We develop a matcher that utilizes Level 3 features, including pores and ridge contours, in conjunction with level 2 features (minutiae) for matching. The aim is to reduce the error rates, namely FAR (False Acceptance Rate) and FRR (False Rejection Rate) in the existing minutiae based systems. The hierarchical matcher has been tested on two diverse databases in public domain. The obtained results are promising and verify our claim.
fingerprint matching level 3 pores and ridges minutia based approach feature extraction