A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand

dc.creatorUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.creatorAlejo, Willy
dc.creatorRodriguez, Daniel
dc.creatorKemper, Guillermo
dc.date.accessioned2015-06-02T20:52:20Z
dc.date.available2015-06-02T20:52:20Z
dc.date.created2015-06-02T20:52:20Z
dc.date.issued2015-06-02
dc.identifier1548-0992
dc.identifier10.1109/TLA.2015.7112000
dc.identifierhttp://hdl.handle.net/10757/556175
dc.identifierIEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS)
dc.description.abstractThis work proposes a biometric identification system that works together with a palm vein reader sensor and a hand-clenching support, designed to perform the capture the back of the hand. Several processing steps were performed: extraction of the region of interest, binarization, dilation, noise filtering, skeletonization, as well as extraction and verification of patterns based on the measurment of coincidence of vertical and horizontal displacements of skeletonized and dilated images. The proposed method achieved the following results: processing time post capture of 1.8 seconds, FRR of 0.47% and FAR of 0,00%, with a referential database of 50 people from a total of 1500 random captures.
dc.languageeng
dc.publisherIEEE
dc.relationhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceRepositorio Académico - UPC
dc.subjectBiometrics
dc.subjectFAR
dc.subjectFRR
dc.subjectROI
dc.subjectIdentification
dc.subjectPattern recognition
dc.subjectVeins patterns
dc.subjectDorsum of the hand
dc.titleA biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand
dc.typeinfo:eu-repo/semantics/article


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