Different methods for fingerprint image orientation estimation
Abstract
Orientation field as a global feature of fingerprints is very important in automatic fingerprint identification systems (AFIS). In fact the overall performance of fingerprint recognition process largely depends on it's accurate estimation. The subject of this paper is to present different methods for fingerprint image orientation estimation, including novel one based on multiscale approach.
Keywords:
fingerprint image / orientation field / gradient / PCA / pyramid decompositionSource:
2012 20th telecommunications forum (TELFOR), 2012, 662-665Publisher:
- IEEE, New York
Funding / projects:
- Inovation of Forensic Methods and their Application (RS-34019)
- New Information Technologies for Analytical Decision Making Based on Experiment Observation and their Application in Biological, Economic and Sociological Systems (RS-44007)