Share Email Print
cover

Proceedings Paper

Adding localization information in a fingerprint binary feature vector representation
Author(s): Julien Bringer; Vincent Despiegel; Mélanie Favre
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

At BTAS'10, a new framework to transform a fingerprint minutiae template into a binary feature vector of fixed length is described. A fingerprint is characterized by its similarity with a fixed number set of representative local minutiae vicinities. This approach by representative leads to a fixed length binary representation, and, as the approach is local, it enables to deal with local distortions that may occur between two acquisitions. We extend this construction to incorporate additional information in the binary vector, in particular on localization of the vicinities. We explore the use of position and orientation information. The performance improvement is promising for utilization into fast identification algorithms or into privacy protection algorithms.

Paper Details

Date Published: 17 May 2011
PDF: 10 pages
Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 80291O (17 May 2011); doi: 10.1117/12.884787
Show Author Affiliations
Julien Bringer, Morpho (France)
Vincent Despiegel, Morpho (France)
Mélanie Favre, Morpho (France)


Published in SPIE Proceedings Vol. 8029:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
B. V. K. Vijaya Kumar; Sárka O. Southern; Kevin N. Montgomery; Salil Prabhakar; Arun A. Ross; Carl W. Taylor; Bernhard H. Weigl, Editor(s)

© SPIE. Terms of Use
Back to Top