Paper Info
Title
Spectral Minutiae Representations for Fingerprint Recognition
Abstract
The spectral minutiae representation introduced in this paper is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation becomes translation that can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with a template protection scheme that requires a fixed-length feature vector as input. In this paper, we will first introduce the spectral minutiae representation scheme. Then we will present several biometric fusion approaches to improve the biometric system performance by combining multiple sources of biometric information. The algorithms are evaluated on the FVC2000-DB2 database and showed promising results.
Year
DOI
Venue
2010
10.1109/IIHMSP.2010.90
IIH-MSP
Keywords
Field
DocType
spectral minutiae representation,fingerprint identification,novel method,image fusion,template protection scheme,biometrics,fixed-length feature vector,fingerprints,biometric fusion approach,fvc2000-db2 database,fingerprint recognition system,multiple source,spectral minutiae representation scheme,biometric system performance,template protection,fingerprint recognition,spectral minutiae representations,biometric information,vectors,feature extraction,security,hamming distance,databases,quantization,system performance,feature vector
Computer vision,Feature vector,Pattern recognition,Image fusion,Fingerprint recognition,Computer science,Minutiae,Feature extraction,Fingerprint,Artificial intelligence,Biometrics,Quantization (signal processing)
Conference
ISBN
Citations 
PageRank 
978-0-7695-4222-5
1
0.35
References 
Authors
5
2
Name
Order
Citations
PageRank
Haiyun Xu113015.77
Raymond N. J. Veldhuis243954.16