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Vein pattern recognition using chain codes spatial information and skeleton fusing

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2012

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Gesellschaft für Informatik e.V.

Zusammenfassung

Vein patterns are a unique attribute of each individual and can therefore be used as a biometric characteristic. Exploiting the specific near infrared light absorption properties of blood, the vein capture procedure is convenient and allows contact-less sensors. We propose a new chain code based feature encoding method, using spacial and orientation properties of vein patterns. The proposed comparison method has been evaluated in a series of different experiments in single and multi-reference scenarios on different vein image databases. The experiments show a competitive or higher biometric performance compared to a selection of minutiae-based comparison methods and other point-to-point comparison algorithms.

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Hartung, Daniel; Pflug, Anika; Busch, Christoph (2012): Vein pattern recognition using chain codes spatial information and skeleton fusing. SICHERHEIT 2012 – Sicherheit, Schutz und Zuverlässigkeit. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-289-5. pp. 245-256. Regular Research Papers. Darmstadt. 7.-9. März 2012

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