Leveraging Computer Vision to Biometric Applications, 1st Edition By Arvind Selwal, Deepika Sharma, Mukesh Mann, & 3 mor

This e-book explores the transformative role of computer vision in biometrical applications, leveraging machine and deep learning algorithms to enhance digital image processing. With the rapid advancements in these technologies, it addresses the design challenges of creating efficient and accurate biometric systems, a pressing issue in today's security landscape. The text showcases various real-life applications, highlighting how emerging techniques can be effectively utilized in computer vision systems.

Key features include discussions on real-time computer vision and biometrics to meet current industry demands, alongside case studies that provide practical insights for developing innovative biometrics-based products. It emphasizes problem-based solutions aimed at securing human authentication through advanced computer vision methodologies.

Designed for academic researchers, scholars, and students across fields like Computer Science, Information Technology, Electronics, Mechanical Engineering, and more, the book serves as a comprehensive resource for those engaged in the burgeoning topics of computer vision and biometrics. By bridging theoretical knowledge and practical application, it equips professionals and industry stakeholders with the tools needed to navigate and contribute to the evolving landscape of biometric technologies. This exploration not only underscores the potential of computer vision in enhancing security but also opens pathways for future innovations in the field.