View source for Publications:Non-intrusive liveness detection by face images

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{{PublicationSetupTemplate|Author=Klaus Kollreider, Hartwig Fronthaler, Josef Bigun
|PID=239398
|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
|PublicationType=Journal Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=Image and Vision Computing
|JournalISSN=0262-8856
|Status=published
|Volume=27
|Issue=3
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|Conference=
|StartPage=233
|EndPage=244
|Year=2009
|Edition=
|Pages=
|City=Amsterdam
|Publisher=Elsevier
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|DOI=http://dx.doi.org/10.1016/j.imavis.2007.05.004
|ISI=000262386600003
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|ScopusId=2-s2.0-56349109534
|NBN=urn:nbn:se:hh:diva-2180
|LocalId=2082/2577
|ArchiveNumber=
|Keywords=Face liveness;Liveness detection;Anti-spoofing measures;Optical flow;Motion of lines;Optical flow of lines;Orientation estimation;Face part models;Retinotopic vision;Local Gabor decomposition;Support vector machine classification
|Categories=Teknik och teknologier (2)
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|Abstract=<p>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.</p>
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|CreatedDate=2008-12-04
|PublicationDate=2008-12-04
|LastUpdated=2012-12-12
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239398}}
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