
Machine Learning for Biometrics
Concepts, Algorithms and Applications
Description
Key Features
- 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
Readership
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
Table of Contents
- 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
Product details
- No. of pages: 264
- Language: English
- Copyright: © Academic Press 2022
- Published: January 21, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780323852098
- eBook ISBN: 9780323903394
About the Editors
Partha Sarangi
Affiliations and Expertise
Madhumita Panda
Affiliations and Expertise
Subhashree Mishra
Affiliations and Expertise
Bhabani Mishra
Affiliations and Expertise
Banshidhar Majhi
Affiliations and Expertise
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