Difference between revisions of "Publications:Non-intrusive liveness detection by face images"
From ISLAB/CAISR
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Klaus Kollreider, Hartwig Fronthaler, Josef Bigun |PID=239398 |Name=Kollrei...") |
|||
| Line 4: | Line 4: | ||
{{PublicationSetupTemplate|Author=Klaus Kollreider, Hartwig Fronthaler, Josef Bigun | {{PublicationSetupTemplate|Author=Klaus Kollreider, Hartwig Fronthaler, Josef Bigun | ||
|PID=239398 | |PID=239398 | ||
| − | |Name=Kollreider, Klaus | + | |Name=Kollreider, Klaus (klakolx) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Fronthaler, Hartwig (harfrox) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Bigun, Josef (josef) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941)) |
|Title=Non-intrusive liveness detection by face images | |Title=Non-intrusive liveness detection by face images | ||
|PublicationType=Journal Paper | |PublicationType=Journal Paper | ||
Latest revision as of 21:39, 30 September 2016
| Title | Non-intrusive liveness detection by face images |
|---|---|
| Author | Klaus Kollreider and Hartwig Fronthaler and Josef Bigun |
| Year | 2009 |
| PublicationType | Journal Paper |
| Journal | Image and Vision Computing |
| HostPublication | |
| Conference | |
| DOI | http://dx.doi.org/10.1016/j.imavis.2007.05.004 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239398 |
| Abstract | A technique evaluating liveness in face image sequences is presented. To ensure the actual presence of a live face in contrast to a photograph (playback attack), is a significant problem in face authentication to the extent that anti-spoofing measures are highly desirable. The purpose of the proposed system is to assist in a biometric authentication framework, by adding liveness awareness in a non-intrusive manner. Analyzing the trajectories of certain parts of a live face reveals valuable information to discriminate it against a spoofed one. The proposed system uses a lightweight novel optical flow, which is especially applicable in face motion estimation based on the structure tensor and inputs of a few frames. For reliable face part detection, the system utilizes a model-based local Gabor decomposition and SVM experts, where selected points from a retinotopic grid are used to form regional face models. Also the estimated optical flow is exploited to detect a face part. The whole procedure, starting with three images as input and finishing in a liveness score, is executed in near real-time without special purpose hardware. Experimental results on the proposed system are presented on both a public database and spoofing attack simulations. |
