Название: Leveraging Computer Vision to Biometric Applications
Автор: Arvind Selwal, Deepika Sharma, Mukesh Mann, Sudeshna Chakraborty, Valentina E. Balas
Издательство: CRC Press
Год: 2025
Страниц: 358
Язык: английский
Формат: pdf (true)
Размер: 20.3 MB

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.

One of the emerging areas of research is biometrics for secured human authentication that widely used in many smart applications. The key examples of biometric traits include fingerprint, iris, face, hand geometry, DNA, gait, palm print, voice, signature, vein pattern, and palm print. The biometrical-based systems are used to offer secured access in real-life applications such as secured surveillance, digital forensics, banking, smart homes, smart cities, border control, attendance monitoring, passport, and e-governance. However, designing efficient and accurate biometric-based systems is a key issue that can be tackled via computer-vision-based techniques.

This book aims to foster machine and deep learning approaches to image processing applications for designing biometrical applications. Original application-based research and review articles with model, build-data-driven applications using computational algorithms are included in different chapters. The reader will learn how different techniques can represent data-driven applications and their behaviors in order to extract key features. The book will enable researchers from academia and industry to share innovative applications and creative solutions to common problems using computer vision applications.

The book provides different approaches for the design perspective of computer vision-based biometric applications in various fields, and it will increase the focus of the research in the industry. It includes fundamental research contributions from the application of design related to secure computing applications to provide sustainable solutions for the future perspective.

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.








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