Image Quality and Performance Based on Henry Classification and Finger Location

This paper presents an analysis of the quality of the image, minutiae count, and overall performance of fingerprint images based on the Henry system of fingerprint classification and the finger's relative location on the presenting hand. To do this, 50 users submitted 3 images from four fingers (index, middle, ring, and little). The National Institute of Standards and Technology (NIST) Fingerprint Image Software, release 2 (NFIS2) was used to analyze image quality and minutiae count. Neurotechnologija Ltd.'s VeriFinger was used to produce receiver operating characteristics (ROCs) in order to analyze performance. Our results show differences not only in image quality and minutiae count, but also matching performance based on Henry system classification and finger location.