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dc.contributor.authorEglitis, Teodors
dc.contributor.authorPudzs, Mihails
dc.contributor.authorGreitans, Modris
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2017-07-26T10:54:18Z
dc.date.available2017-07-26T10:54:18Z
dc.date.issued2014
dc.identifier.isbn978-3-88579-624-4
dc.identifier.issn1617-5468
dc.description.abstractThis paper proposes a method for palm bimodal biometric feature (vein and crease pattern) acquisition from a single RGB image. Typical bimodal biometric systems require combining infrared and visible images for this task. We use a single CMOS color sensor and a specific illumination comprising of two wavelengths to acquire the image. As a result each biometric modality is more pronounced in its own color channel. The image is processed by applying adapted matched filters with nonlinear modifications. Performance of the proposed method is evaluated against feature separation with optical band-pass and band-stop approach on a database of 64 people. The results show the average true positive rate is 70.6 \% for vein detection and 64.7 \% for crease detection, whereas in 14.8 \% and 9.29 \% of the cases feature of wrong modality is detected.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-230
dc.titleBimodal palm biometric feature extraction using a single RGB imageen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages39-50
mci.conference.locationDarmstadt
mci.conference.date10.-12. September 2014


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