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Investigation of better portable graphics compression for iris biometric recognition

dc.contributor.authorHofbauer, Heinz
dc.contributor.authorRathgeb, Christian
dc.contributor.authorWagner, Johannes
dc.contributor.authorUhl, Andreas
dc.contributor.authorBusch, Christoph
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2017-06-30T08:19:14Z
dc.date.available2017-06-30T08:19:14Z
dc.date.issued2015
dc.description.abstractIn this paper we present the very first study on the effectiveness of the recently proposed Better Portable Graphics (BPG) image compression algorithm in the context of iris recognition. Original and pre-processed iris images of the IITDv1 iris database are compressed at various reasonable bitrates and the impact of BPG on recognition accuracy is estimated in a bilateral and unilateral compression scenario. In experiments we found that, compared to well-established image compression standards recommended for biometric data interchange, JPEG and JPEG 2000, BPG generally reveals the least impact on the recognition accuracy of two conventional feature extraction techniques. In addition, we observe that iris segmentation is least affected when employing BPG compression. Consequentially, we identify BPG as an adequate choice for image compression in iris recognition.en
dc.identifier.isbn978-3-88579-639-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-245
dc.titleInvestigation of better portable graphics compression for iris biometric recognitionen
dc.typeText/Conference Paper
gi.citation.endPage206
gi.citation.publisherPlaceBonn
gi.citation.startPage199
gi.conference.date9.-11. September 2015
gi.conference.locationDarmstadt

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