Binding: Paperback
Description: Machine Learning for Biometrics: Concepts Algorithms and Applications highlights the fundamental concepts of machine learning processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real - life case studies illustrative examples and video demonstrations. The book elucidates various biometric concepts algorithms and applications with machine intelligence solutions providing guidance on best practices for new technologies such as e - health solutions Data science Cloud computing and Internet of Things etc. In each section different machine learning concepts and algorithms are used such as different object detection techniques image enhancement techniques both global and local feature extraction techniques and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing Mobile computing IOT based applications and e - health care systems for secure login device access control personal recognition and surveillance.
Title: Machine Learning For Biometrics Concepts Algorithms And Applications
Brand: Elsevier Science & Technology
Barcode: 9780323852098
Pages: 264 Pages
Publication Date: 1/24/2022
Series: Cognitive Data Science in Sustainable Computing
Category: Machine Learning