Combining Level-3 Features with Perspiration Pattern: Extended Database Results

Abstract

Level-3 fingerprint features from fingerprint images like pores are difficult to capture and detect, and involve high resolution scanners with higher dpi count. However, these features provide finer information about a fingerprint characteristics. Furthermore, fingerprint pores may be useful in determining liveness of fingerprint in order to prevent spoofing of fingerprint devices. In this study fingerprint pores along the ridges are used for fingerprint matching. Wavelet based fingerprint enhancement techniques are implemented to ease detection of the level-3 features. Delaunay triangulation based alignment and matching of the fingerprints is performed. The pores are checked for the liveness by perspiration activity in the time series captures. The developed matching scheme is tested for the high resolution data (Crossmatch 1000 dpi and Identix 686 dpi) for 114 live and spoof fingerprint classes. ROC is plotted and equal error rates of 1.27% and 3.32% were obtained for Crossmatch and Identix scanners respectively.