Comparative Assessment of Fingerprint Sample Quality Measures Based on Minutiae-based Matching Performance
This Fingerprint sample quality is one of major factors influencing the matching performance of fingerprint recognition systems. The error rates of fingerprint recognition systems can be decreased significantly by removing poor quality fingerprints. 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, (NFIQ from NIST, and QualityCheck from Aware Inc.) in terms of matching performance of a commercial fingerprint matcher (Verifinger 5.0 from Neurotechnologija). The experimental results over various Fingerprint Verification Competition (FVC) datasets show that even a single sample quality measure can enhance the matching performance effectively.
fingerprint sample quality matching performance quality measure equal error rate
Changlong Jin Hakil Kim Xuenan Cui Eunsoo Park Junchul Kim Jinsoo Hwang Stephen Elliott
Department of Information Engineering, INHA University, Incheon, Korea Department of Statistics, INHA University, Incheon, Korea Biometric Standards Performance and Assurance Laboratory, Purdue University, USA
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
309-313
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）