University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics.

Tirunagari, Santosh, Poh, Norman, Bober, Miroslaw and Windridge, David (2015) Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics. In: IEEE International Workshop on Information Forensics and Security (WIFS), 2015-11-16 - 2015-11-19.

[img]
Preview
Text
Norman_FVSpoof_WIFS.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (2MB) | Preview
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

Recent studies have shown that it is possible to attack a finger vein (FV) based biometric system using printed materials. In this study, we propose a novel method to detect spoofing of static finger vein images using Windowed Dynamic mode decomposition (W-DMD). This is an atemporal variant of the recently proposed Dynamic Mode Decomposition for image sequences. The proposed method achieves better results when compared to established methods such as local binary patterns (LBP), discrete wavelet transforms (DWT), histogram of gradients (HoG), and filter methods such as range-filters, standard deviation filters (STD) and entropy filters, when using SVM with a minimum intersection kernel. The overall pipeline which consists ofW-DMD and SVM, proves to be efficient, and convenient to use, given the absence of additional parameter tuning requirements. The effectiveness of our methodology is demonstrated using FV-Spoofing-Attack database which is publicly available. Our test results show that W-DMD can successfully detect printed finger vein images because they contain micro-level artefacts that not only differ in quality but also in light reflection properties compared to valid/live finger vein images.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Computer Science
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Tirunagari, Santoshsantosh.tirunagari@surrey.ac.ukUNSPECIFIED
Poh, NormanN.Poh@surrey.ac.ukUNSPECIFIED
Bober, MiroslawM.Bober@surrey.ac.ukUNSPECIFIED
Windridge, DavidD.Windridge@surrey.ac.ukUNSPECIFIED
Date : 2015
Identification Number : 10.1109/WIFS.2015.7368599
Copyright Disclaimer : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDIEEE, UNSPECIFIEDUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 20 Oct 2016 08:49
Last Modified : 31 Oct 2017 18:48
URI: http://epubs.surrey.ac.uk/id/eprint/812525

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800