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dc.contributor.authorKauba, Christof
dc.contributor.authorKirchgasser, Simon
dc.contributor.authorJöchl, Robert
dc.contributor.authorUhl, Andreas
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDamer, Naser
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira, Ana
dc.contributor.editorUhl, Andreas
dc.date.accessioned2021-10-04T08:43:50Z
dc.date.available2021-10-04T08:43:50Z
dc.date.issued2021
dc.identifier.isbn978-3-88579-709-8
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37468
dc.description.abstractBiometric recognition performance is affected by many factors, like varying acquisition conditions or ageing related effects, commonly denoted as biometric template ageing. Image sensor ageing, being part of biometric template ageing and a sub-field of image and video forensics, leads to defective pixels due to cosmic radiation, depending on the altitude. So far, image sensor ageing has only been a peripheral target in fingerprint research. We investigate the impact of image sensor ageing on various fingerprint capturing devices, including optical, capacitive and thermal ones. We established a fingerprint ageing dataset utilising 10 capturing devices which travelled on an air-plane for 127 days (to increase the number of developed defects). By evaluating the samples captured prior to their travel and afterwards using several state-of-the-art fingerprint quality metrics as well as minutiae-based fingerprint recognition systems we quantify the effect of image sensor ageing on fingerprint recognition. Furthermore, by employing a defect detection technique we quantify the number of defects developed during that period.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-330
dc.subjectFingerprint Recognition
dc.subjectBiometric Template Ageing
dc.subjectFingerprint Sensor Ageing
dc.subjectPerformance Evaluation
dc.subjectQuality Evaluation
dc.titleAssessment of Sensor Ageing-Impact in Air Travelled Fingerprint Capturing Devicesen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages293-300
mci.conference.sessiontitleFurther Conference Contributions
mci.conference.locationInternational Digital Conference
mci.conference.date15.-17. September 2021


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