Title:	A low cost finger vein authentication system, using maximum curvature points
Authors:	Tagkalakis, Fotios Fotopoulos, Vassilis
Citation:	2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.249-252.
Issue Date:	2015
Publisher:	Západočeská univerzita v Plzni
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/35132
ISBN:	978-80-261-0385-1 (Print) 978-80-261-0386-8 (Online)
ISSN:	1803-7232 (Print) 1805-9597 (Online)
Keywords:	robustnost;kamery;rozpoznání duhovky;tvář;rozpoznání otisku prstu;palec
Keywords in different language:	robustness;cameras;iris recognition;face;fingerprint recognition;thumb
Abstract in different language:	Finger vein patterns have been proposed as a suitable biometric feature for authentication applications. Systems using this feature are generally low cost, accurate and easy to use. Such a system is described in this work. Infrared light is used to capture an image of a finger and a pattern recognition algorithm extracts the vein patterns. For robust and precise extraction of the depicted veins, a method of calculating local maximum curvatures in cross-sectional profiles of a vein image was used. The authentication algorithm has been evaluated with images acquired from the device built, as well as with images from a 400 fingers database. The false acceptance and false rejection rates obtained were promising.
Rights:	© University of West Bohemia
Appears in Collections:	Applied Electronics 2015 Applied Electronics 2015

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