Logo des Repositoriums
 

Template protection for biometric gait data

dc.contributor.authorNickel, Claudia
dc.contributor.authorZhou, Xuebing
dc.contributor.authorBusch, Christoph
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2019-01-17T10:33:04Z
dc.date.available2019-01-17T10:33:04Z
dc.date.issued2010
dc.description.abstractBiometric gait recognition is a well suited method for authentication on mobile devices as it is unobtrusive and concurrent. Hence, in contrast to PIN authentication it is no extra-effort for the user. The characteristic gait of a subject can be recorded using accelerometers which are nowadays already contained in many mobile devices. From this data biometric feature vectors can be extracted and stored as reference data on the device. Only if the user is not recognized by his walk an active authentication via PIN is necessary. As the number of attacks on mobile devices increases it cannot be assumed that the data stored on the device is under constant control of the subject. Therefore, template protection techniques should be applied to secure biometric data. As biometric gait recognition is a new field of research no specific template protection methods have been developed so far. This paper describes a new method for securing biometric gait features based on histograms and using the earth mover's distance for comparison. The method is tested with gait data of 48 subjects recorded using a mobile phone and the results are compared to the ones obtained without template protection.en
dc.identifier.isbn978-3-88579-258-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19569
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-164
dc.titleTemplate protection for biometric gait dataen
dc.typeText/Conference Paper
gi.citation.endPage81
gi.citation.publisherPlaceBonn
gi.citation.startPage73
gi.conference.date09.-10. September 2010
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
73.pdf
Größe:
239.87 KB
Format:
Adobe Portable Document Format