Abstract
Singular points are important global features of fingerprints and singular point localization is a crucial step in biometric recognition. Moreover the presence and position of the core point in a captured fingerprint sample can reflect whether the finger is placed properly on the sensor. Therefore, the displacement given by detected core points is investigated. We propose pattern-based filters to eliminate the false detection given by state of the art approaches. The experimental results show improvement using different databases. Based on the improved singular point localization algorithm, we explore and analyze the importance of singular points on biometric accuracy. The experiment is based on large scale databases and conducted by relating the measured quality of a fingerprint sample, given by the positions of core points, to the biometric performance. The experimental results show the positions of core points do have influence on the comparison algorithms, but are not as relevant as other benchmarked quality metrics.
Original language | English |
---|---|
Article number | 907503 |
Journal | Proceedings of SPIE, the International Society for Optical Engineering |
Volume | 9075 |
Number of pages | 14 |
ISSN | 1605-7422 |
DOIs | |
Publication status | Published - 2014 |
Event | Biometric and Surveillance Technology for Human and Activity Identification XI - Baltimore, United States Duration: 8 May 2014 → 8 May 2014 |
Conference
Conference | Biometric and Surveillance Technology for Human and Activity Identification XI |
---|---|
Country | United States |
City | Baltimore |
Period | 08/05/2014 → 08/05/2014 |
Keywords
- biometrics
- fingerprint image quality assessment
- singular point localization