Leveraging Computer Vision to Biometric Applications

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Leveraging Computer Vision to Biometric Applications (Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series) by Arvind Selwal, Deepika Sharma, Mukesh Mann
English | October 7, 2024 | ISBN: 1032614641 | 358 pages | AZW3 | 9.27 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.

Key FeaturesDiscusses real-life applications of emerging techniques in computer vision systemsOffers solutions on real-time computer vision and biometrics applications to cater to the needs of current industryPresents case studies to offer ideas for developing new biometrics-based productsOffers problem-based solutions in the field computer vision and real-time biometric applications for secured human authenticationWorks as a ready resource for professionals and scholars working on emerging topics of computer vision for biometricsThe 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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