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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. 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.
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. 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.