Spurious Fingerprint Minutiae Detection Based on Multiscale Directional Information

  • B. M. Popović Academy of Criminalistic and Police Studies
  • Lj. Mašković Academy of Criminalistic and Police Studies
  • M. V. Banđur University of Priština

Abstract

Amongst available biometrics, personal identification based on fingerprints is still considered for one of the most reliable identification method. Most AFIS available today uses distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges. This can drastically reduce the recognition rate in automatic fingerprint identification systems. In this paper multiscale directional information obtained from orientation image is used to detect and filter those spurious minutiae, resulting in multiple decrease of their number. Ill. 6, bibl. 19 (in English; summaries in English, Russian and Lithuanian).

Published
2007-08-20
How to Cite
Popović, B. M., Mašković, L., & Banđur, M. V. (2007). Spurious Fingerprint Minutiae Detection Based on Multiscale Directional Information. Elektronika Ir Elektrotechnika, 79(7), 23-28. Retrieved from http://eejournal.ktu.lt/index.php/elt/article/view/10832
Section
T 170 ELECTRONICS