Leveraging Computer Vision to Biometric Applications
by Selwal, Arvind, Sharma, Deepika, Mann, Mukesh, Chakraborty, Sudeshna, Balas, Valentina E., Lieh, Ouh Eng
English | 2025 | ISBN: 1032614641 | 342 pages | True EPUB | 6.43 MB
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometric applications. In this aspect, it presents the advancements made in computer vision to biometric application design approaches 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.
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