A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand
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Issue Date
2015-06-02
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IEEEJournal
IEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS)DOI
10.1109/TLA.2015.7112000Additional Links
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2Abstract
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/articleRights
info:eu-repo/semantics/openAccessLanguage
engDescription
ArticleISSN
1548-0992ae974a485f413a2113503eed53cd6c53
10.1109/TLA.2015.7112000
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