Logo des Repositoriums
 

On Combining Classifiers for Assessing Portrait Image Compliance with ICAO/ISO Standards

dc.contributor.authorStorer, Markus
dc.contributor.authorUrschler, Martin
dc.contributor.authorBischof, Horst
dc.contributor.authorBirchbauer, Josef A.
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorHühnlein, Detlef
dc.date.accessioned2019-04-03T11:54:05Z
dc.date.available2019-04-03T11:54:05Z
dc.date.issued2008
dc.description.abstractThe International Civil Aviation Organization (ICAO) has selected biomet- rics - in particular face - as the technique for travel documents to verify the association between such documents and the person in possession of them. The International Stan- dard Organization (ISO) has defined a standard for the digital face images to be used in Machine Readable Travel Documents. Due to the ISO/IEC 19794-5 international standard, there exists a high demand for automatically checking portrait images to as- sist civil service employees in decision making regarding ICAO/ISO compliance. We present a face normalization and analysis system implementing several requirements of the ISO/IEC 19794-5 specification. We address the criteria eyes-open and mouth- closed and highlight the fusion of complementary classifiers to boost performance of the overall analysis system. Our results show that classifier fusion is capable of im- proving the classification performance considerably as compared to a single classifier decision.en
dc.identifier.isbn978-3-88579-231-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21191
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofBIOSIG 2008: Biometrics and Electronic Signatures
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-137
dc.titleOn Combining Classifiers for Assessing Portrait Image Compliance with ICAO/ISO Standardsen
dc.typeText/Conference Paper
gi.citation.endPage164
gi.citation.publisherPlaceBonn
gi.citation.startPage153
gi.conference.date11.-12. September 2008
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

Dateien

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