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

2.50
Hdl Handle:
http://hdl.handle.net/10757/556175
Title:
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand
Authors:
Alejo, Willy; Rodriguez, Daniel; Kemper, Guillermo
Publisher:
IEEE
Journal:
IEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS)
Issue Date:
2-Jun-2015
URI:
http://hdl.handle.net/10757/556175
DOI:
10.1109/TLA.2015.7112000
Additional Links:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2
Abstract:
This 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.
Type:
info:eu-repo/semantics/article
Rights:
info:eu-repo/semantics/openAccess
Language:
eng
Description:
Article
Keywords:
Biometrics; FAR; FRR; ROI; Identification; Pattern recognition; Veins patterns; Dorsum of the hand
ISSN:
1548-0992

Full metadata record

DC FieldValue Language
dc.contributor.authorAlejo, Willyes_PE
dc.contributor.authorRodriguez, Danieles_PE
dc.contributor.authorKemper, Guillermoes_PE
dc.creatorUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.date.accessioned2015-06-02T20:52:20Zes_PE
dc.date.available2015-06-02T20:52:20Zes_PE
dc.date.issued2015-06-02es_PE
dc.identifier.issn1548-0992es_PE
dc.identifier.doi10.1109/TLA.2015.7112000es_PE
dc.identifier.urihttp://hdl.handle.net/10757/556175es_PE
dc.descriptionArticlees_PE
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.eng
dc.formatapplication/pdfes_PE
dc.language.isoengeng
dc.publisherIEEEes_PE
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Académico - UPCes_PE
dc.subjectBiometricses_PE
dc.subjectFARes_PE
dc.subjectFRRes_PE
dc.subjectROIes_PE
dc.subjectIdentificationes_PE
dc.subjectPattern recognitiones_PE
dc.subjectVeins patternses_PE
dc.subjectDorsum of the handes_PE
dc.titleA biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the handes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journalIEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS)es_PE
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