Multi-Biometric System Based on Cutting-Edge Equipment for Experimental Contactless Verification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015869" target="_blank" >RIV/62690094:18450/19:50015869 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/19/17/3709" target="_blank" >https://www.mdpi.com/1424-8220/19/17/3709</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s19173709" target="_blank" >10.3390/s19173709</a>

Result language

angličtina

Original language name

Multi-Biometric System Based on Cutting-Edge Equipment for Experimental Contactless Verification

Original language description

Biometric verification methods have gained significant popularity in recent times, which has brought about their extensive usage. In light of theoretical evidence surrounding the development of biometric verification, we proposed an experimental multi-biometric system for laboratory testing. First, the proposed system was designed such that it was able to identify and verify a user through the hand contour, and blood flow (blood stream) at the upper part of the hand. Next, we detailed the hard and software solutions for the system. A total of 40 subjects agreed to be a part of data generation team, which produced 280 hand images. The core of this paper lies in evaluating individual metrics, which are functions of frequency comparison of the double type faults with the EER (Equal Error Rate) values. The lowest value was measured for the case of the modified Hausdorff distance metric - Maximally Helicity Violating (MHV). Furthermore, for the verified biometric characteristics (Hamming distance and MHV), appropriate and suitable metrics have been proposed and experimented to optimize system precision. Thus, the EER value for the designed multi-biometric system in the context of this work was found to be 5%, which proves that metrics consolidation increases the precision of the multi-biometric system. Algorithms used for the proposed multi-biometric device shows that the individual metrics exhibit significant accuracy but perform better on consolidation, with a few shortcomings.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF18_069%2F0010054" target="_blank" >EF18_069/0010054: IT4Neuro(degeneration)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SENSORS

ISSN

1424-8220

e-ISSN

—

Volume of the periodical

19

Issue of the periodical within the volume

17

Country of publishing house

CH - SWITZERLAND

Number of pages

23

Pages from-to

"Article number 3709"

UT code for WoS article

000486861900079

EID of the result in the Scopus database

2-s2.0-85071709509