Machine Learning for Biometrics: Concepts, Algorithms and Applications (Cognitive Data Science in Sustainable Computing) Partha Pratim Sarangi

Machine Learning for Biometrics: Concepts, Algorithms and Applications (Cognitive Data Science in Sustainable Computing) Partha Pratim Sarangi – Ebook Instant Download/Delivery ISBN(s): 9780323852098,0323852092,9780323903394, 0323903398

Product details:

• ISBN 10: 0323903398
• ISBN 13: 9780323903394
• Author: Partha Pratim Sarang, Madhumita Panda, Subhashree Mishra, Bhabani Shankar Prasad Mishra, Banshidhar Majhii

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.

Table contents:

Chapter 1: Machine learning approach for longitudinal face recognition of children

Chapter 2: Thermal biometric face recognition (TBFR): A noncontact face biometry

Chapter 3: Multimodal biometric recognition using human ear and profile face: An improved approach

Chapter 4: Statistical measures for Palmprint image enhancement

Chapter 5: Retina biometrics for personal authentication

Chapter 6: Gender recognition from facial images using multichannel deep learning framework

Chapter 7: Implementation of cardiac signal for biometric recognition from facial video

Chapter 8: Real-time emotion engagement tracking of students using human biometric emotion intensities

Chapter 9: Facial identification expression-based attendance monitoring and emotion detection—A deep CNN approach

Chapter 10: Contemporary survey on effectiveness of machine and deep learning techniques for cyber security

Chapter 11: A secure biometric authentication system for smart environment using reversible data hiding through encryption scheme

Chapter 12: An efficient and untraceable authentication protocol for cloud-based healthcare system

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