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Deep Learning for Biometrics, Bir Bhanu; Ajay Kumar


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Автор: Bir Bhanu; Ajay Kumar
Название:  Deep Learning for Biometrics
Перевод названия: Бир Бхану: Глубокое познание в биометрии
ISBN: 9783319616568
Издательство: Springer
Классификация:



ISBN-10: 3319616560
Обложка/Формат: Hardcover
Страницы: 312
Вес: 0.71 кг.
Дата издания: 15.08.2017
Серия: Advances in Computer Vision and Pattern Recognition
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 97 tables, color; 96 illustrations, color; 21 illustrations, black and white; xxxi, 312 p. 117 illus., 96 illus. in color.
Размер: 24.38 x 16.71 x 2.39 cm
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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;

Introduction to Biometrics

Автор: Anil K. Jain; Arun A. Ross
Название: Introduction to Biometrics
ISBN: 0387773258 ISBN-13(EAN): 9780387773254
Издательство: Springer
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Цена: 79190.00 T
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Описание: While the deployment of large-scale biometric systems in both commercial and government applications has increased the public awareness of this technology, "Introduction to Biometrics" is the first textbook to introduce the fundamentals of Biometrics to undergraduate/graduate students.

Handbook of Biometrics

Автор: Jain Anil K., Flynn Patrick, Ross Arun A.
Название: Handbook of Biometrics
ISBN: 038771040X ISBN-13(EAN): 9780387710402
Издательство: Springer
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Цена: 158380.00 T
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Описание: Biometrics is a rapidly evolving field with applications ranging from accessing one’s computer to gaining entry into a country. The deployment of large-scale biometric systems in both commercial (e.g., grocery stores, Disney World, airports) and government (e.g., IAFIS) applications has served to increase the public’s awareness of this technology. This rapid growth has clearly highlighted the challenges associated with designing and deploying biometric systems. Indeed, the problem of biometric authentication is a "Grand Challenge" in its own right.  The past five years has seen a significant growth in biometric research resulting in the development of innovative sensors, new algorithms, enhanced test methodologies and novel applications.The purpose of the Handbook of Biometrics is to address this void by inviting some of the prominent researchers in Biometrics to author individual chapters describing the fundamentals as well as the latest innovations in their respective areas of expertise.Designed for researchers and advanced-level students in computer science, the Handbook of Biometrics is also suitable for Biometric and Computer Security professionals. 

Advances in Biometrics / Sensors, Systems and Algorithms

Автор: Ratha N.K., Govindaraju Venu
Название: Advances in Biometrics / Sensors, Systems and Algorithms
ISBN: 1846289203 ISBN-13(EAN): 9781846289200
Издательство: Springer
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Цена: 121110.00 T
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Описание: From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management. This book offers coverage of a gamut of topics in the field, including sensors, data acquisition, pattern-matching algorithms, and issues that impact at the system level.

Discriminative Learning in Biometrics

Автор: David Zhang; Yong Xu; Wangmeng Zuo
Название: Discriminative Learning in Biometrics
ISBN: 9811020558 ISBN-13(EAN): 9789811020551
Издательство: Springer
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Цена: 102480.00 T
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Описание:

This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.


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