Authors:
Raimundo Claudio da Silva Vasconcelos
1
and
Helio Pedrini
2
Affiliations:
1
Federal Institute of Brasília, Taguatinga-DF, 72146-050, Brazil, Institute of Computing, University of Campinas, Campinas-SP, 13083-852 and Brazil
;
2
Institute of Computing, University of Campinas, Campinas-SP, 13083-852 and Brazil
Keyword(s):
Fingerprint Segmentation, Oriented Pattern, Directional Information, Biometric Systems.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Segmentation and Grouping
Abstract:
Segmentation is a crucial task in automatic fingerprint identification systems. This paper describes a novel segmentation approach which takes into account the directional information inherent in fingerprint ridges. The method considers a directional operator to feed a k-means unsupervised clustering algorithm that labels the image in non-overlapping regions. Morphological operations are performed to fill holes and properly separate foreground from background. Experiments conducted on Fingerprint Verification Competition (FVC) datasets demonstrate that the proposed method, denoted as Oriented Pattern-based Segmentation (OPS), achieves competitive results when compared to other well-known available fingerprint segmentation approaches.