Ear and Tongue Multi Biometric Identification System Using CNN: Multi Biometric Identification System - Softcover
Inhaltsangabe
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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Über die Autorin bzw. den Autor
Saba 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 Baghdad University, B.Sc. Computer Science 2013 Baghdad University. Research Interests: Image Processing, Pattern Recognition.
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Ear and Tongue Multi Biometric Identification System Using CNN
Verlag:
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10: 6204732986
ISBN 13: 9786204732985
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786204732985
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Ear and Tongue Multi Biometric Identification System Using CNN
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204732986
ISBN 13: 9786204732985
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: 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. Bestandsnummer des Verkäufers 558558738
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Ear and Tongue Multi Biometric Identification System Using CNN
Verlag:
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10: 6204732986
ISBN 13: 9786204732985
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786204732985
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EUR 79,90
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Ear and Tongue Multi Biometric Identification System Using CNN : Multi Biometric Identification System
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204732986
ISBN 13: 9786204732985
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786204732985
Neu kaufen
EUR 80,86
EUR 61,49 Versand
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