Machine Learning for Biometrics : Concepts, Algorithms and Applications Paperback / softback
Edited by Partha Pratim (Professor in Computer Science and Engineering, Seemanta Engineering College, Sarangi, Madhumita (Assistant Professor, Master in Computer Applications, Seemanta Engineering College Panda, Subhashree (Assistant Professor, School of Electronics Engineering, KIIT University, Bhubane Mishra, Bhabani Shankar Prasad (Associate Professor, School of Computer Engineering, KIIT University Mishra, Banshidhar (Director, IIITDM, Kancheepuram, Kancheepuram, Chennai, India) Majhi
Part of the Cognitive Data Science in Sustainable Computing series
Paperback / softback
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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.
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Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:264 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/01/2022
- Category:
- ISBN:9780323852098
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:264 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/01/2022
- Category:
- ISBN:9780323852098