Publications:Improving Fingerprint Alteration Detection
From ISLAB/CAISR
| Title | Improving Fingerprint Alteration Detection |
|---|---|
| Author | Carsten Gottschlich and Anna Mikaelyan and Martin Aastrup Olsen and Josef Bigun and Christoph Busch |
| Year | 2015 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) |
| Conference | 9th International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia, September 7-9, 2015 |
| DOI | http://dx.doi.org/10.1109/ISPA.2015.7306037 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:853384 |
| Abstract | 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. |
