Machine Learning and Biometrics

Machine Learning and Biometrics

Edited by Adele Kuzmiakova
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This comprehensive guide provides a detailed overview of modern biometrics, which allows a person to be identified and authenticated based on recognisable, unique, and verifiable data.

Biometrics technologies include detection of dormant fingerprints, iris, gait, or facial and voice recognition.

Today, biometrics powers cutting-edge security algorithms.

Biometrics is used for access into banks, airports or personal smartphones, which means that your money and personal information can be stored safely.

Each chapter starts with a comprehensive review of the biometrics technology and its algorithmic description, describes how it works, and outlines all of the applicable and modern use cases of that technology.

This book will be an invaluable companion guide to students wishing to become system designers, micro-engineers, security algorithms creators, security experts, and electronic security system manufacturers working on controls or microchips.

Año:
2022
Editorial:
Arcler Press
Idioma:
english
Páginas:
248
ISBN 10:
1774691043
ISBN 13:
9781774691045
Archivo:
PDF, 6.75 MB
IPFS:
CID , CID Blake2b
english, 2022
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