Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Tagkalakis, Fotios | |
| dc.contributor.author | Fotopoulos, Vassilis | |
| dc.date.accessioned | 2019-09-25T09:02:09Z | - |
| dc.date.available | 2019-09-25T09:02:09Z | - |
| dc.date.issued | 2015 | |
| dc.identifier.citation | 2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.249-252. | en |
| dc.identifier.isbn | 978-80-261-0385-1 (Print) | |
| dc.identifier.isbn | 978-80-261-0386-8 (Online) | |
| dc.identifier.issn | 1803-7232 (Print) | |
| dc.identifier.issn | 1805-9597 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/11025/35132 | |
| dc.format | 4 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | Západočeská univerzita v Plzni | cs |
| dc.rights | © University of West Bohemia | en |
| dc.subject | robustnost | cs |
| dc.subject | kamery | cs |
| dc.subject | rozpoznání duhovky | cs |
| dc.subject | tvář | cs |
| dc.subject | rozpoznání otisku prstu | cs |
| dc.subject | palec | cs |
| dc.title | A low cost finger vein authentication system, using maximum curvature points | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | 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. | en |
| dc.subject.translated | robustness | en |
| dc.subject.translated | cameras | en |
| dc.subject.translated | iris recognition | en |
| dc.subject.translated | face | en |
| dc.subject.translated | fingerprint recognition | en |
| dc.subject.translated | thumb | en |
| dc.type.status | Peer-reviewed | en |
| Vyskytuje se v kolekcích: | Applied Electronics 2015 Applied Electronics 2015 | |
Soubory připojené k záznamu:
| Soubor | Popis | Velikost | Formát | |
|---|---|---|---|---|
| Tagkalakis.pdf | Plný text | 854,53 kB | Adobe PDF | Zobrazit/otevřít |
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