Liveness detection based on 3D face shape analysis
Lagorio, Andrea, Tistarelli, Massimo, Cadoni, Marinella, Fookes, Clinton B., & Sridharan, Sridha (2013) Liveness detection based on 3D face shape analysis. In Proceedings of the 2013 International Workshop on Biometrics and Forensics (IWBF), IEEE, Lisbon, Portugal, pp. 1-4.
In recent years face recognition systems have been applied in various useful applications, such as surveillance, access control, criminal investigations, law enforcement, and others. However face biometric systems can be highly vulnerable to spoofing attacks where an impostor tries to bypass the face recognition system using a photo or video sequence. In this paper a novel liveness detection method, based on the 3D structure of the face, is proposed. Processing the 3D curvature of the acquired data, the proposed approach allows a biometric system to distinguish a real face from a photo, increasing the overall performance of the system and reducing its vulnerability. In order to test the real capability of the methodology a 3D face database has been collected simulating spoofing attacks, therefore using photographs instead of real faces. The experimental results show the effectiveness of the proposed approach.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||3D face recognition, Liveness detection, Biometrics, Pattern recognition, Shape analysis|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2013 IEEE|
|Deposited On:||22 Aug 2013 23:00|
|Last Modified:||09 Apr 2014 12:20|
Repository Staff Only: item control page