Current Challenges of Hand-Based Biometric Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920828" target="_blank" >RIV/00216275:25410/23:39920828 - isvavai.cz</a>
Result on the web
<a href="https://www.taylorfrancis.com/chapters/edit/10.4324/9781003285854-7/current-challenges-hand-based-biometric-systems-katerina-prihodova-miloslav-hub" target="_blank" >https://www.taylorfrancis.com/chapters/edit/10.4324/9781003285854-7/current-challenges-hand-based-biometric-systems-katerina-prihodova-miloslav-hub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4324/9781003285854-7" target="_blank" >10.4324/9781003285854-7</a>
Alternative languages
Result language
angličtina
Original language name
Current Challenges of Hand-Based Biometric Systems
Original language description
Currently, more and more emphasis is placed on the security of information systems. Password authentication is increasingly being replaced by biometric authentication, which is based on the unique characteristics of the human body and its behavior. In this context, new methods are appearing all the time that differ according to what is measured on the person or how the measured data is processed. A large field is hand-based biometric identification and authentication, which is currently highly developed. The goal of this contribution is to formulate current challenges in the field of hand-based biometrics based on thorough research that should be addressed in the future.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Cyber Security and Business Intelligence : Innovations and Machine Learning for Cyber Risk Management
ISBN
978-1-03-225957-4
Number of pages of the result
18
Pages from-to
103-120
Number of pages of the book
222
Publisher name
Taylor & Francis Ltd.
Place of publication
Abingdon
UT code for WoS chapter
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