Comparative Assessment of Fingerprint Sample Quality Measures

초록

Fingerprint sample quality is one of major factors influencing the matching performance of fingerprint recognition systems. The purpose of this paper is to assess the effectiveness of individual sample quality measures on the performance of minutiae-based fingerprint recognition algorithms. Initially, the authors examined the various factors that influenced the matching performance of the minutiae-based fingerprint recognition algorithms. Then, the existing measures for fingerprint sample quality were studied and the more effective quality measures were selected and compared with two image quality software packages in terms of matching performance. The experimental results over various datasets show that even a single sample quality measure can enhance the matching performance effectively.