Ear and Tongue Multi Biometric Identification System Using CNN: Multi Biometric Identification System - Couverture souple
Synopsis
In the last few decades, biometric technologies have been employed for subject identification and authentication at an increasing rate due to several inherent advantages. Beyond the traditional biometric systems that use single biometric information, the multi-biometric methods appear to be more popular and accuracy promising. Multi-biometric systems, that merge information from two or more biometric traits taken from the same subject, have gained popularity because they can overcome the limitations such as noisy sensor data, non-universality, susceptibility to spoofing attacks, and large intra-user variations that are usually faced in unibiometrics systems.In this book combined biometric traits of ear and tongue were used as a robust biometric system to identify individuals, also an analysis was performed to assess the system robustness.
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Ear and Tongue Multi Biometric Identification System Using CNN
Edité par
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10 : 6204732986
ISBN 13 : 9786204732985
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the last few decades, biometric technologies have been employed for subject identification and authentication at an increasing rate due to several inherent advantages. Beyond the traditional biometric systems that use single biometric information, the multi-biometric methods appear to be more popular and accuracy promising. Multi-biometric systems, that merge information from two or more biometric traits taken from the same subject, have gained popularity because they can overcome the limitations such as noisy sensor data, non-universality, susceptibility to spoofing attacks, and large intra-user variations that are usually faced in unibiometrics systems.In this book combined biometric traits of ear and tongue were used as a robust biometric system to identify individuals, also an analysis was performed to assess the system robustness. 188 pp. Englisch. N° de réf. du vendeur 9786204732985
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Ear and Tongue Multi Biometric Identification System Using CNN
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204732986
ISBN 13 : 9786204732985
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: A.Tuama SabaSaba Ayad Tuama: Born in May 1, 1991, Baghdad, Iraq. She received her Ph.D. Computer Science 2020 Iraqi Commission for Computers, Informatics Institute For Postgraduate Studies. Baghdad, Iraq, M. Sc. Computer Science 2016. N° de réf. du vendeur 558558738
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Ear and Tongue Multi Biometric Identification System Using CNN | Multi Biometric Identification System
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204732986
ISBN 13 : 9786204732985
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Ear and Tongue Multi Biometric Identification System Using CNN | Multi Biometric Identification System | Saba A. Tuama (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204732985 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 121136103
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Ear and Tongue Multi Biometric Identification System Using CNN
Edité par
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10 : 6204732986
ISBN 13 : 9786204732985
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the last few decades, biometric technologies have been employed for subject identification and authentication at an increasing rate due to several inherent advantages. Beyond the traditional biometric systems that use single biometric information, the multi-biometric methods appear to be more popular and accuracy promising. Multi-biometric systems, that merge information from two or more biometric traits taken from the same subject, have gained popularity because they can overcome the limitations such as noisy sensor data, non-universality, susceptibility to spoofing attacks, and large intra-user variations that are usually faced in unibiometrics systems.In this book combined biometric traits of ear and tongue were used as a robust biometric system to identify individuals, also an analysis was performed to assess the system robustness.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. N° de réf. du vendeur 9786204732985
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Ear and Tongue Multi Biometric Identification System Using CNN : Multi Biometric Identification System
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204732986
ISBN 13 : 9786204732985
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the last few decades, biometric technologies have been employed for subject identification and authentication at an increasing rate due to several inherent advantages. Beyond the traditional biometric systems that use single biometric information, the multi-biometric methods appear to be more popular and accuracy promising. Multi-biometric systems, that merge information from two or more biometric traits taken from the same subject, have gained popularity because they can overcome the limitations such as noisy sensor data, non-universality, susceptibility to spoofing attacks, and large intra-user variations that are usually faced in unibiometrics systems.In this book combined biometric traits of ear and tongue were used as a robust biometric system to identify individuals, also an analysis was performed to assess the system robustness. N° de réf. du vendeur 9786204732985
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EUR 80,86
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