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Sinopsis
Security systems widespread and play essential roles in our lives. The strongest security systems can be built by biometric trails. Earprint can be considered as one of the most important biometrics, especially for phone communications. Here, an earprint database has firstly been established by collecting a big number of earprint images, where an acquisition device is designed and utilized. Preprocessing steps are adopted for segmenting an acquired image and extracting the earprint pattern. Deep Learning (DL) techniques that are currently widely exploited have limited use for individual verifications based on earprint patterns. So, a DL model has been suggested for personal verification in this study. Furthermore, a communication prototype has been designed to analyze an earprint, then, provide a secure mobile phone call.
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Earprint Authentication for Communicating Purpose
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LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Security systems widespread and play essential roles in our lives. The strongest security systems can be built by biometric trails. Earprint can be considered as one of the most important biometrics, especially for phone communications. Here, an earprint database has firstly been established by collecting a big number of earprint images, where an acquisition device is designed and utilized. Preprocessing steps are adopted for segmenting an acquired image and extracting the earprint pattern. Deep Learning (DL) techniques that are currently widely exploited have limited use for individual verifications based on earprint patterns. So, a DL model has been suggested for personal verification in this study. Furthermore, a communication prototype has been designed to analyze an earprint, then, provide a secure mobile phone call. 92 pp. Englisch. Nº de ref. del artículo: 9786204731834
Cantidad disponible: 2 disponibles
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Earprint Authentication for Communicating Purpose
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Nº de ref. del artículo: 540638435
Cantidad disponible: Más de 20 disponibles
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Earprint Authentication for Communicating Purpose
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Security systems widespread and play essential roles in our lives. The strongest security systems can be built by biometric trails. Earprint can be considered as one of the most important biometrics, especially for phone communications. Here, an earprint database has firstly been established by collecting a big number of earprint images, where an acquisition device is designed and utilized. Preprocessing steps are adopted for segmenting an acquired image and extracting the earprint pattern. Deep Learning (DL) techniques that are currently widely exploited have limited use for individual verifications based on earprint patterns. So, a DL model has been suggested for personal verification in this study. Furthermore, a communication prototype has been designed to analyze an earprint, then, provide a secure mobile phone call. Nº de ref. del artículo: 9786204731834
Cantidad disponible: 1 disponibles
Imagen del vendedor
Earprint Authentication for Communicating Purpose
Publicado por
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Security systems widespread and play essential roles in our lives. The strongest security systems can be built by biometric trails. Earprint can be considered as one of the most important biometrics, especially for phone communications. Here, an earprint database has firstly been established by collecting a big number of earprint images, where an acquisition device is designed and utilized. Preprocessing steps are adopted for segmenting an acquired image and extracting the earprint pattern. Deep Learning (DL) techniques that are currently widely exploited have limited use for individual verifications based on earprint patterns. So, a DL model has been suggested for personal verification in this study. Furthermore, a communication prototype has been designed to analyze an earprint, then, provide a secure mobile phone call.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Nº de ref. del artículo: 9786204731834
Cantidad disponible: 2 disponibles