Anzeige
Erschienen in:
2006 | OriginalPaper | Buchkapitel
Fingerprint Matching Based on Octantal Nearest-Neighbor Structure and Core Points
verfasst von : Li-min Yang, Jie Yang, Hong-tao Wu
Erschienen in: Computer Vision, Graphics and Image Processing
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper, we propose a novel Octantal Nearest-neighbor Structure and core points based fingerprint matching scheme. A novel fingerprint feature named the octantal nearest-neighbor structure (ONNS) is defined. Based on the ONNS, the minutiae pairing algorithm is conducted to find the corresponding minutiae pairs, and a novel algorithm is developed to evaluate the translational and rotational parameters between the input and the template fingerprints. Core point based orientation pairing is performed thereafter. Matching score is calculated. Experimental results on the FVC2004 fingerprint databases show the good performance of the proposed algorithm.