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Image Quality Assessment on Identity Documents

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dc.contributor.authorYáñez, Claudio
dc.contributor.authorTapia, Juan
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.accessioned2021-10-04T08:43:44Z
dc.date.available2021-10-04T08:43:44Z
dc.date.issued2021
dc.description.abstractThis paper developed a method for performing Image Quality Assessment (IQA) on ID-Card images. First, we build the dataset, consisting of 204 images from Chilean ID-Cards, containing real and tampered images with varying quality levels. Then, we evaluated different features, obtaining the best results using the BRISQUE features and a newly trained SVR, with an $R^2$ score of 0.5868. This proposed method is called BRISQUE-ID. The IQA on ID-Cards can be used as a pre-processing stage for discarding lousy quality images and helping the subsequent steps in the processing pipeline.en
dc.identifier.isbn978-3-88579-709-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37448
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-315
dc.subjectImage quality assessment
dc.subjectIdentity documents
dc.subjectID cards
dc.subjectSample quality
dc.subjectBiometrics
dc.titleImage Quality Assessment on Identity Documentsen
dc.typeText/Conference Paper
gi.citation.endPage146
gi.citation.publisherPlaceBonn
gi.citation.startPage137
gi.conference.date15.-17. September 2021
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

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P315 - BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group