Convolutional neural networks in hand-based recognition system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39914417" target="_blank" >RIV/00216275:25410/19:39914417 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Convolutional neural networks in hand-based recognition system

Popis výsledku v původním jazyce

Biometric systems are often discussed today. Authentication systems that work with biometric data (such as fingerprint, iris, hand geometry) have a high level of security. There are many reasons why it is necessary to have a strong authentication system. One of them is the existence of information systems that store sensitive data that needs to be protected. This article is focused on hand-based identification systems. A typical hand-based authentication system performs: data acquisition, feature extraction, classification, and decision. This paper presents the use of a convolutional neural network to identify people based on hand geometry. Convolutional neural networks are used for pattern recognition. When using a convolutional neural network, it is not necessary before classification feature extraction. Experiments were performed on a database of 550 hand images from 114 people, each person provided 5 images. The accuracy of the identification of persons was 94.11%, 3 images of each person were used for training.

Název v anglickém jazyce

Convolutional neural networks in hand-based recognition system

Popis výsledku anglicky

Biometric systems are often discussed today. Authentication systems that work with biometric data (such as fingerprint, iris, hand geometry) have a high level of security. There are many reasons why it is necessary to have a strong authentication system. One of them is the existence of information systems that store sensitive data that needs to be protected. This article is focused on hand-based identification systems. A typical hand-based authentication system performs: data acquisition, feature extraction, classification, and decision. This paper presents the use of a convolutional neural network to identify people based on hand geometry. Convolutional neural networks are used for pattern recognition. When using a convolutional neural network, it is not necessary before classification feature extraction. Experiments were performed on a database of 550 hand images from 114 people, each person provided 5 images. The accuracy of the identification of persons was 94.11%, 3 images of each person were used for training.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 34th International Business Information Management Association Conference. Vision 2025: Education Excellence and Management of Innovations through Sustainable Economic Competitive Advantage, IBIMA 2019

ISBN

978-0-9998551-3-3

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

4744-4750

Název nakladatele

International Business Information Management Association-IBIMA

Místo vydání

Norristown

Místo konání akce

Madrid

Datum konání akce

13. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000556337406043