Machine Learning for Biometrics: Concepts, Algorithms and Applications

Machine Learning for Biometrics: Concepts, Algorithms, and Applications is a comprehensive book that covers machine learning concepts, algorithms, and applications in biometrics. It provides guidance on best practices for new technologies such as e-health solutions, data science, cloud computing, and the Internet of Things. It also discusses different machine learning techniques, such as object detection, image enhancement, and classifiers, that can be used in cloud computing, mobile computing, IoT-based applications, and e-health care systems for secure login, device access control, personal recognition, and surveillance.

Format: Paperback / softback
Length: 264 pages
Publication date: 24 January 2022
Publisher: Elsevier Science & Technology

Machine Learning for Biometrics: Concepts, Algorithms, and Applications delves into the realm of machine learning, focusing on the processing and analysis of data derived from biometrics. It provides a comprehensive review of intelligent and cognitive learning tools that can be employed in this field. The book is organized into chapters, each supported by real-life case studies, illustrative examples, and video demonstrations. It elucidates various biometric concepts, algorithms, and applications, showcasing machine intelligence solutions. Additionally, it offers guidance on best practices for emerging technologies such as e-health solutions, data science, cloud computing, and the Internet of Things.

Within each section, diverse machine learning concepts and algorithms are employed, including various object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers, which are commonly used in data science. These biometrics techniques find applications in Cloud computing, mobile computing, IoT-based applications, and e-health care systems for secure login, device access control, personal recognition, and surveillance.

By exploring these topics, Machine Learning for Biometrics: Concepts, Algorithms, and Applications serves as a valuable resource for researchers, practitioners, and students in the field of biometrics and related disciplines. It equips them with the knowledge and tools necessary to leverage machine learning for the development of innovative solutions that enhance security, accuracy, and efficiency in biometric-based systems.

Weight: 432g
Dimension: 153 x 228 x 20 (mm)
ISBN-13: 9780323852098