Improving Fingerprint Alteration Detection
2015 (English)In: 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) / [ed] Sven Lončarić, Dick Lerski, Hannu Eskola, Robert Bregović, Zagreb: University of Zagreb , 2015, 83-86 p.Conference paper (Refereed)
Fingerprint alteration is a type of presentation attack in which the attacker strives to avoid identification, e.g. at border control or in forensic investigations. As a countermeasure, fingerprint alteration detection aims to automatically discover the occurrence of such attacks by classifying fingerprint images as ’normal’ or ’altered’. In this paper, we propose four new features for improving the performance of fingerprint alteration detection modules. We evaluate the usefulness of these features on a benchmark and compare them to four existing features from the literature. © Copyright 2015 IEEE - All rights reserved.
Place, publisher, year, edition, pages
Zagreb: University of Zagreb , 2015. 83-86 p.
, International Symposium on Image and Signal Processing and Analysis, ISSN 1849-2266 ; 9
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:hh:diva-29447DOI: 10.1109/ISPA.2015.7306037ISBN: 978-1-4673-8032-4ISBN: 978-1-4673-8031-7OAI: oai:DiVA.org:hh-29447DiVA: diva2:853384
9th International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia, September 7-9, 2015
FunderEU, FP7, Seventh Framework Programme, SEC-2012-312792
This work is carried out under the funding of the EU-FP7 INGRESS project (Grant No. SEC-2012-312792). C. Gottschlich also acknowledges the support of the Felix-Bernstein-Institute for Mathematical Statistics in the Bio-sciences and the Niedersachsen Vorab of the Volkswagen Foundation.2015-09-132015-09-132015-11-03Bibliographically approved