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- PublisherSpringer
- Publication date2018
- ISBN 10 3319871285
- ISBN 13 9783319871288
- BindingPaperback
- LanguageEnglish
- Number of pages343
- EditorBhanu Bir, Kumar Ajay
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Deep Learning for Biometrics
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Springer International Publishing, 2018
ISBN 10: 3319871285
ISBN 13: 9783319871288
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first dedicated work on advances in biometric identification capabilities using deep learning techniquesCovers a broad range of deep learning integrated biometric techniques, including face, fingerprint, iris, gait, template protection, and is. Seller Inventory # 458627417
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Deep Learning for Biometrics
Published by
Springer International Publishing Mai 2018, 2018
ISBN 10: 3319871285
ISBN 13: 9783319871288
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning. 344 pp. Englisch. Seller Inventory # 9783319871288
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Deep Learning for Biometrics
Published by
Springer International Publishing, 2018
ISBN 10: 3319871285
ISBN 13: 9783319871288
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches forgesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning. Seller Inventory # 9783319871288
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Deep Learning for Biometrics
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Springer International Publishing, Springer Nature Switzerland Mai 2018, 2018
ISBN 10: 3319871285
ISBN 13: 9783319871288
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches forgesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch. Seller Inventory # 9783319871288
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Deep Learning for Biometrics (Advances in Computer Vision and Pattern Recognition)
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Paperback. Condition: New. New. book. Seller Inventory # ERICA80033198712856
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Deep Learning for Biometrics (Advances in Computer Vision and Pattern Recognition)
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Condition: New. pp. 343. Seller Inventory # 26382264062
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Deep Learning for Biometrics (Advances in Computer Vision and Pattern Recognition)
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Condition: New. Print on Demand pp. 343. Seller Inventory # 381639969
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Deep Learning for Biometrics (Advances in Computer Vision and Pattern Recognition)
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND pp. 343. Seller Inventory # 18382264052
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