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

Author

Alejo, Willy ; Rodriguez, Daniel ; Kemper, Guillermo

Author_Institution

Univ. Peruana de Cienc. Aplic., Lima, Peru

Volume

13

Issue

5

fYear

2015

fDate

May-15

Firstpage

1438

Lastpage

1445

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.

Keywords

biometrics (access control); feature extraction; image filtering; image matching; image sensors; infrared imaging; vein recognition; FAR; FRR; binarization; biometric identification system; biometric method; dilated IR image matching; hand dorsum; hand-clenching support; noise filtering; palm vein reader sensor; pattern extraction; pattern verification; region of interest extraction; skeletonized IR image matching; veins map; Biomedical imaging; Image segmentation; Radiofrequency identification; Robustness; Silicon compounds; Veins; Visualization; FAR; FRR; ROI; biometrics; dorsum of the hand; identification; pattern recognition; veins patterns;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2015.7112000

Filename

7112000