Articles liés à Applications of Soft Computing in Ear Biometrics
- ÉditeurAry Publisher
- Date d'édition2023
- ISBN 10 580782606X
- ISBN 13 9785807826060
- ReliureBroché
- Langueanglais
- Nombre de pages158
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Applications of Soft Computing in Ear Biometrics
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Applications of Soft Computing in Ear Biometrics
Edité par
ARY Publisher Mär 2023, 2023
ISBN 10 : 580782606X
ISBN 13 : 9785807826060
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Ear biometrics is an emerging area of research that aims to develop accurate and reliable systems for identifying individuals based on the unique features of their ears. Soft computing techniques, such as machine learning, artificial intelligence, fuzzy logic, and neural networks, are increasingly being used in ear biometrics to extract and analyze ear features, patterns, and shapes. The use of soft computing techniques has led to the development of more accurate and robust ear recognition systems, with applications in security, authentication, and identification. The use of deep learning algorithms, coupled with large datasets of ear images, has shown promising results in improving the accuracy of ear biometrics, as well as reducing the impact of noise and other variations. Applications of soft computing in ear biometrics have important implications for privacy, as ear recognition systems can potentially be used for mass surveillance. Therefore, the development of accurate and reliable ear biometrics systems must be balanced with ethical considerations and legal regulations. Overall, the use of soft computing techniques in ear biometrics is an important area of research with significant potential for improving security and identification in various domains. 158 pp. Englisch. N° de réf. du vendeur 9785807826060
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Applications of Soft Computing in Ear Biometrics
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ear biometrics is an emerging area of research that aims to develop accurate and reliable systems for identifying individuals based on the unique features of their ears. Soft computing techniques, such as machine learning, artificial intelligence, fuzzy logic, and neural networks, are increasingly being used in ear biometrics to extract and analyze ear features, patterns, and shapes. The use of soft computing techniques has led to the development of more accurate and robust ear recognition systems, with applications in security, authentication, and identification. The use of deep learning algorithms, coupled with large datasets of ear images, has shown promising results in improving the accuracy of ear biometrics, as well as reducing the impact of noise and other variations. Applications of soft computing in ear biometrics have important implications for privacy, as ear recognition systems can potentially be used for mass surveillance. Therefore, the development of accurate and reliable ear biometrics systems must be balanced with ethical considerations and legal regulations. Overall, the use of soft computing techniques in ear biometrics is an important area of research with significant potential for improving security and identification in various domains. N° de réf. du vendeur 9785807826060
Quantité disponible : 1 disponible(s)