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 the 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 techniqueso Discussed real-life applications of emerging techniques in computer vision systemso Offer solutions on real-time computer vision and biometrics applications to cater to current industry problemso Presents case studies to offer ideas for developing new biometrics-based productso Offers problem-based solutions in the field of building construction, electrical, electronic engineering and management.o 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.

Leveraging Computer Vision to Biometric Applications (Chapman and Hall Distributed Computing and Intelligent Data Analytics Series) PDF

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