Continuous fingerprints classification by symmetrical filters

Authors:
Jun Li;Wei-Yun Yau;Han Wang
Affiliations:
Nanyang Techological University;Agency for Science Technology & Research, Singapore;Nanyang Techological University
Venue:
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Year:
2006

Citing 3
Cited 1

Fingerprint Classification by Directional Image Partitioning

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Indexing Based on Novel Features of Minutiae Triplets

IEEE Transactions on Pattern Analysis and Machine Intelligence
Localization of corresponding points in fingerprints by complex filtering

Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)

Dynamic discriminant functions with missing feature values

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

In a large number of fingerprint database, the naïve way to identify a person is to match the query image with all entries of the database. To speed up this processing, exclusive classification assigns each fingerprint into one of several subgroups. Thus the query image only needs to compare with the images in one subgroup. While exclusive classification is hard because of small inter-class variability and the large intra-class variability. And it is not so efficient as well due to the small number of classes and non-uniform distribution.