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Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities

Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities
Author(s)/Editor(s): Kamta Nath Mishra (Birla Institute of Technology, India) and Subhash Chandra Pandey (Birla Institute of Technology, India)
Copyright: ©2021
DOI: 10.4018/978-1-7998-4537-9
ISBN13: 9781799845379
ISBN10: 1799845370
EISBN13: 9781799845386

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Description

Vein-based biological systems are highly useful for identification purposes since they cannot be stolen, duplicated, or washed out. These systems present opportunities in networking and cloud-based and internet of things systems as a more specific and accurate method of identification. However, while the concept is novel, the execution remains imperfect, and the current techniques to drive positive identification must be honed before implementation.

Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities is an essential publication that examines the design and development of new digital identification tools. Featuring coverage of a broad range of topics including performance evaluation, algorithms, and design architecture, this book is ideally designed for clinicians, healthcare providers, programmers, software developers, doctors, academicians, researchers, and students.



Author's/Editor's Biography

Kamta Mishra
Dr. Kamta Nath Mishra was born on August 15, 1973 in Kushinagar district of Uttar Pradesh, INDIA. He received his Bachelor of Science (B.Sc., Maths) degree from University of Gorakhpur, INDIA, in 1992, and Master of Computer Application (MCA) degree from Madan Mohan Malviya Engineering College (Currently MMMUT), Gorakhpur, U. P., INDIA in 1996. Dr. Mishra completed his M.Tech. (Software Systems) degree from Birla Institute of Technology and Science (BITS) Pilani, INDIA in 2003 and Ph.D. (Engg.) from CSE department of B.I.T. Mesra – INDIA, in May 2015.

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