Paper Info
Title
Complex spectral minutiae representation for fingerprint recognition
Abstract
The spectral minutiae representation is designed for combining fingerprint recognition with template protection. This puts several constraints to the fingerprint recognition system: first, no relative alignment of two fingerprints is allowed due to the encrypted storage; second, a fixed-length feature vector is required as input of template protection schemes. The spectral minutiae representation represents a minutiae set as a fixed-length feature vector, which is invariant to translation, rotation and scaling. These characteristics enable the combination of fingerprint recognition systems with template protection schemes and allow for fast minutiae-based matching as well. In this paper, we introduce the complex spectral minutiae representation (SMC): a spectral representation of a minitiae set, as the location-based and the orientation-based spectral minutiae representations (SML and SMO), but it encodes minutiae orientations differently. SMC improves the recognition accuracy, expressed in term of the Equal Error Rate, about 2-4 times compared with SML and SMO. In addition, the paper presents two feature reduction algorithms: the Column-PCA and the Line-DFT feature reductions, which achieve a template size reduction around 90% and results in a 10-15 times higher matching speed (with 125,000 comparisons per second).
Year
DOI
Venue
2010
10.1109/CVPRW.2010.5544605
computer vision and pattern recognition
Keywords
DocType
Volume
principal component analysis,sliding mode control,fingerprint recognition,fingerprint identification,biometrics,sensors,privacy,cryptography
Conference
2010
Issue
ISSN
ISBN
1
2160-7508
978-1-4244-7029-7
Citations 
PageRank 
References 
2
0.41
3
Authors
2
Name
Order
Citations
PageRank
Haiyun Xu113015.77
Raymond N. J. Veldhuis243954.16