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Machine Learning for Biometrics
Concepts, Algorithms and Applications
- 1st Edition - January 21, 2022
- Editors: Partha Pratim Sarangi, Madhumita Panda, Subhashree Mishra, Bhabani Shankar Prasad Mishra, Banshidhar Majhi
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 2 0 9 - 8
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 3 3 9 - 4
Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometric… Read more
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Request a sales quoteMachine 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.
- Covers different machine intelligence concepts, algorithms and applications in the field of cybersecurity, e-health monitoring, secure cloud computing and secure IOT based operations
- Explores advanced approaches to improve recognition performance of biometric systems with the use of recent machine intelligence techniques
- Introduces detection or segmentation techniques to detect biometric characteristics from the background in the input sample
Faculty members, graduate/master degree students and research scholars, practitioners, developers, engineers, etc. from Computer Science and Engineering, Information Technology, Electronics Engineering, Electrical Engineering, Electrical and Electronics Engineering disciplines. Biometrics, Computer vision, Data Science, Cloud computing, Cyber Security, e-Health monitoring systems, Internet of Things security
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Acknowledgments
- Chapter 1: Machine learning approach for longitudinal face recognition of children
- Abstract
- 1: Introduction
- 2: Face modality for children face recognition
- 3: Children face databases
- 4: Face recognition of children
- 5: Feature extraction techniques
- 6: Machine learning classification methods
- 7: Deep learning approach
- 8: Results
- 9: Discussion and conclusion
- Chapter 2: Thermal biometric face recognition (TBFR): A noncontact face biometry
- Abstract
- 1: Introduction
- 2: Existing approaches
- 3: Proposed work
- 4: Experimental results
- 5: Conclusion
- Chapter 3: Multimodal biometric recognition using human ear and profile face: An improved approach
- Abstract
- 1: Introduction
- 2: Related work
- 3: Background
- 4: Proposed multimodal biometric recognition
- 5: Experiments and results
- 6: Conclusion
- Chapter 4: Statistical measures for Palmprint image enhancement
- Abstract
- 1: Introduction
- 2: Palmprint image enhancement
- 3: Statistical measure
- 4: Discussion and analysis
- 5: Conclusion
- Chapter 5: Retina biometrics for personal authentication
- Abstract
- 1: Introduction
- 2: Framework of authentication system using biometrics
- 3: Related work
- 4: Anatomy of retina
- 5: ANFIS-based retina biometric authentication system (ARBAS)
- 6: Conclusion
- Chapter 6: Gender recognition from facial images using multichannel deep learning framework
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Preliminaries
- 4: Proposed system
- 5: Shallow CNN
- 6: Feature fusion
- 7: Experimental results and discussion
- 8: Single-channel approach
- 9: Proposed MC-DLF approach
- 10: Summary
- Chapter 7: Implementation of cardiac signal for biometric recognition from facial video
- Abstract
- 1: Introduction
- 2: Biometric identification system based on facial video
- 3: Results and discussions
- 4: Conclusions and future work
- Chapter 8: Real-time emotion engagement tracking of students using human biometric emotion intensities
- Abstract
- 1: Introduction
- 2: Related work
- 3: Methodology
- 4: Results and discussions
- 5: Conclusions
- Chapter 9: Facial identification expression-based attendance monitoring and emotion detection—A deep CNN approach
- Abstract
- 1: Introduction
- 2: Related work
- 3: Proposed work
- 4: Conclusion and future work
- Chapter 10: Contemporary survey on effectiveness of machine and deep learning techniques for cyber security
- Abstract
- 1: Introduction
- 2: Biometrics in cyber security
- 3: Cyber attacks versus machine learning
- 4: Applications of ML and DL in cyber security
- 5: Machine learning-based cyber security systems
- 6: Deep learning-based cyber security systems
- 7: Conclusion and future scope
- Chapter 11: A secure biometric authentication system for smart environment using reversible data hiding through encryption scheme
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Proposed scheme
- 4: Illustrative examples
- 5: Experimental study and result analysis
- 6: Conclusion
- Chapter 12: An efficient and untraceable authentication protocol for cloud-based healthcare system
- Abstract
- 1: Introduction
- 2: Related work
- 3: System model and security goals
- 4: Proposed protocol
- 5: Security analysis
- 6: Performance analysis
- 7: Conclusion
- Index
- No. of pages: 264
- Language: English
- Edition: 1
- Published: January 21, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780323852098
- eBook ISBN: 9780323903394
PS
Partha Pratim Sarangi
MP
Madhumita Panda
SM
Subhashree Mishra
BM
Bhabani Shankar Prasad Mishra
BM