Leveraging Computer Vision to Biometric Applications

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

Author: Arvind Selwal, Deepika Sharma, Mukesh Mann, Sudeshna Chakraborty, Valentina E Balas, Ouh Eng Lieh

Publisher: CRC Press LLC

Publication Date: Oct 07, 2024

Number of Pages: NA pages

Language: English

Binding: Hardcover

ISBN-10: 1032614641

ISBN-13: 9781032614649