Personalized Mobile eHealth Services for Secure User Access Through a Multi Feature Biometric Framework

2019 ◽  
Vol 8 (1) ◽  
pp. 40-51 ◽  
Author(s):  
Georgios C. Manikis ◽  
Marios Spanakis ◽  
Emmanouil G. Spanakis
Keyword(s):  
User Authentication ◽  
Medical Personnel ◽  
Biometric Identification ◽  
Identification System ◽  
Biometric System ◽  
Privacy And Security ◽  
Workforce Management ◽  
User Access ◽  
Visual Characteristics ◽  
Facial Images

Humans have various features that differentiates one person from another which can be used to identify an individual for security purposes. These biometrics can authenticate or verify a person's identity and can be sorted in two classes, physiological and behavioural. In this article, the authors present their results of experimentation on publicly available facial images and the efficiency of a prototype version of SpeechXRays, a multi-modal biometric system that uses audio-visual characteristics for user authentication in eHealth platforms. Using the privacy and security mechanism provided, based on audio and video biometrics, medical personnel are able to be verified and subsequently identified for two different eHealth applications. These verified persons are then able to access control, identification, workforce management or patient record storage. In this work, the authors argue how a biometric identification system can greatly benefit healthcare, due to the increased accuracy of identification procedures.

Secured Online Payment Using Biometric Identification System

2013 ◽  
Vol 824 ◽  
pp. 193-199
Author(s):  
F.O. Agbontaen ◽  
P.E. Orukpe
Keyword(s):  
Smart Card ◽  
Biometric Identification ◽  
Identification System ◽  
Biometric System ◽  
Card Reader ◽  
Online Transactions ◽  
Online Identification ◽  
Online Payment ◽  
Smart Card Reader ◽  
Made In

In this paper, we will investigate the possibilities of using highly secured online payment via biometric system in the Nigerian environment. The system proposed enables the user to purchase any product online just by slotting a biometric embedded smart card in a portable handheld smart card reader that has a fingerprint scanner touch pad and can generate different code to authenticate online transactions. While online identification and verification processes are facing frauds and undesirable incidents, this biometric payment technology offers best solution. With the help of this technology, you can ensure that transactions on purchase of any product online are made in a reliable manner. Thus, no scope is left for criminal-minded people to create loopholes in e-commerce security.

scholarly journals A Multimodal User Authentication System Using Faces and Gestures

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Hyunsoek Choi ◽  
Hyeyoung Park
Keyword(s):  
User Authentication ◽  
Biometric System ◽  
Video Signals ◽  
Novel Approach ◽  
Biometric Systems ◽  
Potential Possibility ◽  
Physical Information ◽  
Authentication System ◽  
Facial Images ◽  
Behavioral Information

As a novel approach to perform user authentication, we propose a multimodal biometric system that uses faces and gestures obtained from a single vision sensor. Unlike typical multimodal biometric systems using physical information, the proposed system utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed and not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password. Therefore, it can be a countermeasure when the physical information is exposed. We aim to investigate the potential possibility of using gestures as a signal for biometric system and the robustness of the proposed multimodal user authentication system. Through computational experiments on a public database, we confirm that gesture information can help to improve the authentication performance.

scholarly journals HUMAN IDENTIFICATION BASED ON FOOT IMAGE RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK

2021 ◽  
Vol 10 (11) ◽  
pp. 54-58
Author(s):  
Mustafa Shiwaish Hameed
Keyword(s):  
Neural Network ◽  
User Authentication ◽  
Image Data ◽  
Identification System ◽  
Biometric System ◽  
Security Systems ◽  
Data Set ◽  
Password Authentication ◽  
Human Footprint ◽  
Financial Transactions

A human footprint is a human biometric system. Each of them has specific footprints. It can be used instead of password authentication in security systems such as user authentication for financial transactions. The password-based system cannot verify that the person entering the password is valid. Therefore, a biometric system is more secure than a password-based system. In this seminar, a new identification system using CNN was presented. In addition, a new foot image data set was created by collecting foot images from 150 people. The presented proposed method presented 100% accuracy when compared with previous studies.

scholarly journals Multimodal Biometric Authentication for Smartphones

2021 ◽  
Vol 9 (12) ◽  
pp. 1559-1568
Author(s):  
Mrunal Pathak
Keyword(s):  
Multimodal Fusion ◽  
Biometric Identification ◽  
Identification System ◽  
Sensitive Information ◽  
Biometric Authentication ◽  
Biometric System ◽  
Multimodal Biometric System ◽  
Biometric Systems ◽  
Real Time Applications ◽  
Eye Recognition

Abstract: Smartphones have become a crucial way of storing sensitive information; therefore, the user's privacy needs to be highly secured. This can be accomplished by employing the most reliable and accurate biometric identification system available currently which is, Eye recognition. However, the unimodal eye biometric system is not able to qualify the level of acceptability, speed, and reliability needed. There are other limitations such as constrained authentication in real time applications due to noise in sensed data, spoof attacks, data quality, lack of distinctiveness, restricted amount of freedom, lack of universality and other factors. Therefore, multimodal biometric systems have come into existence in order to increase security as well as to achieve better performance.[1] This paper provides an overview of different multimodal biometric (multibiometric) systems for smartphones being employed till now and also proposes a multimodal biometric system which can possibly overcome the limitations of the current biometric systems. Keywords: Biometrics, Unimodal, Multimodal, Fusion, Multibiometric Systems

Non-Cooperative Facial Biometric Identification Systems

2011 ◽  
pp. 1259-1265
Author(s):  
Carlos M. Travieso González ◽  
Aythami Morales Moreno
Keyword(s):  
User Authentication ◽  
Biometric Identification ◽  
Identification System ◽  
Biometric Systems ◽  
Driver's License

The verification of identity is becoming a crucial factor in our hugely interconnected society. Questions such as “Is she really who she claims to be?”, “Is this person authorized to use this facility?” are routinely being posed in a variety of scenarios ranging from issuing a driver’s license to gaining entry into a country. The necessity for reliable user authentication techniques has increased in the wake of heightened concerns about security and rapid advancements in networking, communication, and mobility. Biometric systems, described as the science in order to recognize an individual based on his or her physical or behavioural traits, is beginning to get acceptance as a legitimate method in order to determine an individual’s identity. Nowadays, biometric systems have been deployed in various commercial, civilian, and forensic applications as a means of establishing identity. In particular, this work presents a non-cooperative identification system based on facial biometric.

scholarly journals Using Multiagents for Context-Aware Adaptive Biometrics

2017 ◽  
Author(s):  
Fatina Shukur
Keyword(s):  
Agent Technology ◽  
Biometric Identification ◽  
Identification System ◽  
Context Aware ◽  
Biometric System ◽  
Specific Context ◽  
Adaptive Techniques

This research is motivated by the need to design a biometric system that uses adaptive techniques relevant to a specific context to identify an individual with little or no interaction with the user. The aim of this research is to develop a framework for a context-aware adaptive multimodal biometric identification system using agent technology.

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