IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Panoramic Views of Cloud IoT-Based M-Health Biometrics: Introduction and Review of the Existing Literature

The Panoramic Views of Cloud IoT-Based M-Health Biometrics: Introduction and Review of the Existing Literature
View Sample PDF
Copyright: 2021
Pages: 35
Source title: Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities
Source Author(s)/Editor(s): Kamta Nath Mishra (Birla Institute of Technology, India) and Subhash Chandra Pandey (Birla Institute of Technology, India)
DOI: 10.4018/978-1-7998-4537-9.ch001

Purchase


Abstract

The veins-based biometric systems use the molds and patterns of the veins' images of the human body for identification in standalone systems or a cloud internet of things (IoT)-based networking environment. The beauty of using veins-based systems for identification is that the vein pattern cannot be stolen or duplicated or washed out because of its availability in the human body. Currently, vein patterns of fingers, hand, palm, heart, head, palm-dorsa, and wrist of humans are used for biometric identification purposed in cloud and IoT-based network environments. In this chapter, the authors have described different types of algorithms including parallel algorithms for identifying persons in clouds and IoT-based environments. The authors observed that many researchers have designed and developed several algorithms to improve and extract the veins patterns from different parts of the human body for identification in different types of environments including clouds and the internet of things.

Related Content

. © 2021. 35 pages.
. © 2021. 24 pages.
. © 2021. 35 pages.
. © 2021. 30 pages.
. © 2021. 34 pages.
. © 2021. 21 pages.
. © 2021. 31 pages.
Body Bottom