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 [BibTeX] [Marc21]
Cross-Database Evaluation With an Open Finger Vein Sensor
Type of publication: Conference paper
Citation: Vanoni_BIOMS_2014
Publication status: Published
Booktitle: IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS)
Year: 2014
Month: October
Pages: 30-35
Publisher: IEEE
Location: Rome, Italy
ISBN: 978-1-4799-5175-8
DOI: 10.1109/BIOMS.2014.6951532
Abstract: Finger vein recognition is a recent biometric application, which relies on the use of human finger vein patterns beneath the skin's surface. While several methods have been proposed in the literature, its applicability to uncontrolled scenarios has not yet been shown. To this purpose this paper first introduces the VERA database, a new challenging publicly available database of finger vein images. This corpus consists of 440 index finger images from 110 subjects collected with an open device in an uncontrolled way. Second, an evaluation of state-of-the-art finger vein recognition systems is performed, both on the controlled UTFVP database and on the new VERA database. This is achieved using a new open source and extensible framework, which allows fair and reproducible benchmarks. Experimental results show that challenging recording conditions such as misalignments of the fingers lead to an absolute degradation in equal error rate of 2.75% up to 24.10% on VERA when compared to the best performances on UTFVP.
Keywords:
Projects Idiap
BEAT
Authors Vanoni, Matthias
Tome, Pedro
El Shafey, Laurent
Marcel, S├ębastien
Added by: [UNK]
Total mark: 0
Attachments
  • Vanoni_BIOMS_2014.pdf
Notes