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

Odor Sensing Techniques: A Biometric Person Authentication Approach

Odor Sensing Techniques: A Biometric Person Authentication Approach
View Sample PDF
Author(s): Yousif A. Albastaki (Ahlia University, Bahrain)
Copyright: 2020
Pages: 24
Source title: Implementing Computational Intelligence Techniques for Security Systems Design
Source Author(s)/Editor(s): Yousif Abdullatif Albastaki (Ahlia University, Bahrain)and Wasan Awad (Ahlia University, Bahrain)
DOI: 10.4018/978-1-7998-2418-3.ch004

Purchase

View Odor Sensing Techniques: A Biometric Person Authentication Approach on the publisher's website for pricing and purchasing information.

Abstract

With advances in technology and the never-ending goal of making life simpler for humans, it is obvious that odor sensing could lead to a better tomorrow. This chapter addressed the multiple cases in which odor sensing could be used and applied specially when identifying individuals. Various research has been carried out in this field using multiple other methods to assist create this field of studies. Most of research has been specifically focused on a single industry or field of application of odor sensing techniques. The work focused on and developed a system using artificial neural network with odor sensing techniques and laid the foundation for a general-purpose system that can be used for authentication and identification of individuals.

Related Content

Kamel Mouloudj, Vu Lan Oanh LE, Achouak Bouarar, Ahmed Chemseddine Bouarar, Dachel Martínez Asanza, Mayuri Srivastava. © 2024. 20 pages.
José Eduardo Aleixo, José Luís Reis, Sandrina Francisca Teixeira, Ana Pinto de Lima. © 2024. 52 pages.
Jorge Figueiredo, Isabel Oliveira, Sérgio Silva, Margarida Pocinho, António Cardoso, Manuel Pereira. © 2024. 24 pages.
Fatih Pinarbasi. © 2024. 20 pages.
Stavros Kaperonis. © 2024. 25 pages.
Thomas Rui Mendes, Ana Cristina Antunes. © 2024. 24 pages.
Nuno Geada. © 2024. 12 pages.
Body Bottom