Leveraging Computer Vision to Biometric Applications

Arvind Selwal (Curatore)

Deepika Sharma (Curatore)

Taylor & Francis Ltd, 2024

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.

• Curatore: Arvind Selwal, Deepika Sharma
• Editore: Taylor & Francis Ltd
• Collana: Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series
• Anno: 2024
• Rilegatura: Hardback
• Pagine: 342 p.
• Dimensioni: 234 x 156 mm
• Peso: 820 gr.
• EAN: 9781032614649

Testo in English