NDLI: Cross-database evaluation using an open finger vein sensor

Content Provider	IEEE Xplore Digital Library
Author	Vanoni, M. Tome, P. El Shafey, L. Marcel, S.
Copyright Year	2014
Description	Author affiliation: Centre du Parc, Idiap Res. Inst., Martigny, Switzerland (Vanoni, M.; Tome, P.; El Shafey, L.; Marcel, S.)
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 finger vein recognition 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.
Starting Page	30
Ending Page	35
File Size	1733561
Page Count	6
File Format	PDF
e-ISBN	9781479951765
DOI	10.1109/BIOMS.2014.6951532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Veins Fingers Detectors Feature extraction Indexes
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Exploring dorsal finger vein pattern for robust person recognition

Finger-Vein Authentication Based on Wide Line Detector and Pattern Normalization

Finger vein verification using Occurrence Probability Matrix (OPM)

Research on extracting human finger vein pattern characteristics

Two modality-based bi-finger vein verification system

A novel finger vein pattern extraction method using oriented filtering technology

Finger vein liveness detection using motion magnification

An efficient finger vein indexing scheme based on unsupervised clustering

A Person Retrieval Solution Using Finger Vein Patterns

Cross-database evaluation using an open finger vein sensor

Similar Documents

Exploring dorsal finger vein pattern for robust person recognition

Finger-Vein Authentication Based on Wide Line Detector and Pattern Normalization

Finger vein verification using Occurrence Probability Matrix (OPM)

Research on extracting human finger vein pattern characteristics

Two modality-based bi-finger vein verification system

A novel finger vein pattern extraction method using oriented filtering technology

Finger vein liveness detection using motion magnification

An efficient finger vein indexing scheme based on unsupervised clustering

A Person Retrieval Solution Using Finger Vein Patterns

Cross-database evaluation using an open finger vein sensor