Articoli correlati a Earprint Authentication for Communicating Purpose
Sinossi
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
Editore:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
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Kartoniert / Broschiert
Da: moluna, Greven, Germania
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Kartoniert / Broschiert. Condizione: New. Codice articolo 540638435
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Earprint Authentication for Communicating Purpose
Editore:
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786204731834
Quantità: 2 disponibili
Immagini fornite dal venditore
Earprint Authentication for Communicating Purpose
Editore:
LAP LAMBERT Academic Publishing Dez 2021, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9786204731834
Quantità: 2 disponibili
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Earprint Authentication for Communicating Purpose
Editore:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204731831
ISBN 13: 9786204731834
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9786204731834
Quantità: 1 disponibili