Paper Info
Title
Invariant representation of orientation fields for fingerprint indexing
Abstract
Orientation fields can be used to describe interleaved ridge and valley patterns of fingerprint image, providing features useful for fingerprint recognition. However, for tasks such as fingerprint indexing, additional image alignment is often required to avoid confounding effects caused by pose differences. In this paper, we propose to employ a set of polar complex moments (PCMs) for extraction of rotation invariant fingerprint representation. PCMs are capable of describing fingerprint ridge flow structures, including singular regions, and are tolerant to spurious orientations in noisy fingerprints. From the orientation fields, a set of rotation moment invariants are derived to form a feature vector for comprehensive fingerprint structural description. This feature vector gives a compact and rotation invariant representation that is important for pose-robust fingerprint indexing. A clustering-based fingerprint indexing scheme is employed to facilitate efficient and effective retrieval of the most likely candidates from a fingerprint database. Our experimental results on NIST and FVC fingerprint databases indicate that the proposed invariant representation improves the performance of fingerprint indexing as compared to state-of-the-art methods.
Year
DOI
Venue
2012
10.1016/j.patcog.2012.01.014
Pattern Recognition
Keywords
Field
DocType
fingerprint ridge flow structure,comprehensive fingerprint,invariant representation,pose-robust fingerprint indexing,noisy fingerprint,fingerprint image,clustering-based fingerprint indexing scheme,fingerprint indexing,orientation field,fingerprint recognition,fvc fingerprint databases,fingerprint database,biometrics
Computer vision,Feature vector,Pattern recognition,Fingerprint recognition,Fingerprint,NIST,Artificial intelligence,Invariant (mathematics),Biometrics,Cluster analysis,Spurious relationship,Mathematics
Journal
Volume
Issue
ISSN
45
7
0031-3203
Citations 
PageRank 
References 
29
0.91
19
Authors
2
Name
Order
Citations
PageRank
Manhua Liu132323.91
Pew-Thian Yap2109393.77