info:eu-repo/semantics/article
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand
Date
2015-06-02Registration in:
1548-0992
10.1109/TLA.2015.7112000
IEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS)
Author
Universidad Peruana de Ciencias Aplicadas (UPC)
Alejo, Willy
Rodriguez, Daniel
Kemper, Guillermo
Institutions
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.