We study a pattern in the fingerprint called a crease, a kind of stripe which irregularly crosses the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae when using a conventional feature detection algorithm, and therefore decreases the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal filter as a detector. We employ a multi-channel filtering framework to detect creases in different orientations. In each channel, PCA is used to extract a rectangle's parameters from the raw detected results. Our algorithm is demonstrated by experiments.
Robust crease detection in fingerprint images
2003-01-01
2039082 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Robust Crease Detection in Fingerprint Images
British Library Conference Proceedings | 2003
|Effect of Crease Orientation on Wrinkle-Crease Interaction in Thin Sheets
British Library Conference Proceedings | 2009
|British Library Online Contents | 2001
|Effect of Crease Orientation on Wrinkle-Crease Interaction for Thin Membranes
Online Contents | 2013
|