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

Article / 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.

Identiferoai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/556175
Date02 June 2015
CreatorsAlejo, Willy, Rodriguez, Daniel, Kemper, Guillermo, Universidad Peruana de Ciencias Aplicadas (UPC)
PublisherIEEE
Source SetsUniversidad Peruana de Ciencias Aplicadas (UPC)
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/article
SourceUniversidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico - UPC
Rightsinfo:eu-repo/semantics/openAccess
Relationhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2

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