Comprehensive analysis of spectral minutiae for vein pattern recognition
Comprehensive analysis of spectral minutiae for vein pattern recognition
- Author(s): D. Hartung ; M. Aastrup Olsen ; H. Xu ; H. Thanh Nguyen ; C. Busch
- DOI: 10.1049/iet-bmt.2011.0013
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- Author(s): D. Hartung 1 ; M. Aastrup Olsen 2 ; H. Xu 3 ; H. Thanh Nguyen 1 ; C. Busch 1, 2
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View affiliations
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Affiliations:
1: Norwegian Information Security Laboratory (NISlab), Gjøvik, Norway
2: Center for Advanced Security Research Darmstadt (CASED), Darmstadt, Germany
3: University of Twente, AE Enschede, The Netherlands
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Affiliations:
1: Norwegian Information Security Laboratory (NISlab), Gjøvik, Norway
- Source:
Volume 1, Issue 1,
March 2012,
p.
25 – 36
DOI: 10.1049/iet-bmt.2011.0013 , Print ISSN 2047-4938, Online ISSN 2047-4946
Similar to biometric fingerprint recognition, characteristic minutiae points – here end and branch points – can be extracted from skeletonised vein images to distinguish individuals. An approach to extract those vein minutiae and to transform them into a fixed-length, translation and scale invariant representation where rotations can be easily compensated is presented in this study. The proposed solution based on spectral minutiae is evaluated against other comparison strategies on three different datasets of wrist and palm dorsal vein samples. The authors' analysis shows a competitive biometric performance while producing features that are compatible with state-of-the-art template protection systems. In addition, a modified and more distinctive, but not transform or rotation invariant, representation is proposed and evaluated.
Inspec keywords: scaling phenomena; vein recognition; image representation; feature extraction
Other keywords:
Subjects: Image recognition; Computer vision and image processing techniques
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