Un método biométrico basado en el nivel de similitud de imágenes infrarrojas dilatadas y esqueletizadas del mapa de venas del dorso de la mano (A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand)

Willy Alejo (willy.alejo@gmail.com)1, Daniel Rodríguez (danielr.carhz@gmail.com)1, Guillermo Kemper (guillermo.kemper@gmail.com)1

1Universidad Peruana de Ciencias Aplicadas (UPC)

This paper appears in: Revista IEEE América Latina

Publication Date: May 2015
Volume: 13,   Issue: 5 
ISSN: 1548-0992

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.

Index Terms:
biometrics, FAR, FRR, ROI, identification, pattern recognition, veins patterns, dorsum of the hand.   

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