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Full Description
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques.
Key Features
Discusses real-life applications of emerging techniques in computer vision systems
Offers solutions on real-time computer vision and biometrics applications to cater to the needs of current industry
Presents case studies to offer ideas for developing new biometrics-based products
Offers problem-based solutions in the field computer vision and real-time biometric applications for secured human authentication
Works as a ready resource for professionals and scholars working on emerging topics of computer vision for biometrics
The book is for academic researchers, scholars and students in Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, management, academicians, researchers, scientists and industry people working on computer vision and biometrics applications.
Contents
1. An overview of biometrics and its applications. 2. Leveraging computer vision to biometrics. 3. Demystifying deep learning for fingerprint recognition. 4. Computer vision for face recognition. 5. Robust iris-based systems via deep models.6. Security and privacy issues in biometric system.7. Deep learning-enabled solutions to countermeasure biometric attacks. 8. Biometric applications in surveillance. 9. Computer vision-assisted anti-spoofing for fingerprint systems. 10. Iris anti-spoofing through vision-based approaches. 11. Deep learning-based countermeasures for face spoof attacks. 12. Deep learning-inspired biometrics for video analysis. 13. Digital forensics and its applications. 14. Biometric-based solutions for government policies. 15. Covid-19 challenges for biometrics. 16. Computer vision for biometric applications. Issues and solutions.
