Authentication for secure environments based on IRIS scanning technology

2000 ◽  
Author(s):  
S. Sanderson
Keyword(s):  
Iris Scanning

scholarly journals Detection of Involuntary Iris Scanning for Enhanced Biometric Security

2019 ◽  
Vol 8 (9S) ◽  
pp. 526-532
Keyword(s):  
Sample Size ◽  
Iris Recognition ◽  
Recognition System ◽  
Biometric Authentication ◽  
Eye Blink ◽  
Biometric Security ◽  
Significant Difference ◽  
Proactive Measures ◽  
Average Size ◽  
Iris Scanning

Although iris recognition system is considered as most robust, hard to counterfeit and the most secure system of biometric authentication. However the existing system fails to detect a forced authentication which might be misused by criminals to unlock the user's account. In this paper we examine the conditions in which a real user is forcibly presented in front of iris scanner on gun point to unlock the account. In this case a significant difference is noted in the area of iris visibility with respect to user's normal iris area visibility. An abnormal eye blink is also detected in forced condition. We successfully design and developed an algorithm to detect such conditions to protect the users from criminals when a user is forcibly presented to an iris scanner to unlock their account. A sample size of 65 volunteers are taken to record the iris authentication in both the conditions i.e. normal with consent of user and forced under without user’s consent. The average size of iris is recorded 10.1 mm while it expands on 13.2 mm (average) in fear when iris is being scanned forcibly by criminals. We conclude that a variation of 2 to 3 mm in iris exposure is a clear biomarker to indicate some presence of criminal traces and take proactive measures to prevent losses.

Face Searching in Large Databases

2010 ◽  
pp. 16-41
Author(s):  
Maria De Marsico ◽  
Maria De Marsico ◽  
Michele Nappi ◽  
Michele Nappi ◽  
Daniel Riccio ◽  
...  
Keyword(s):  
Face Recognition ◽  
Recognition Rate ◽  
3D Models ◽  
Similarity Score ◽  
Remote Access ◽  
Private Companies ◽  
Input Size ◽  
Large Databases ◽  
Iris Scanning ◽  
Access Security

Both government agencies and private companies are investing significant resources to improve local/remote access security. Badge or password-based procedures have proven to be too vulnerable, while biometric research has significantly grown, mostly due to technological progresses that allow using increasingly efficient techniques, yet at decreasing costs. Suitable devices capture images of user’s face, iris, etc., or other biometric elements such as fingerprints or voice. Each biometry calls for specific procedures. Measures from user’s data make up the so called biometric key, which is stored in a database (enrolment) or used for recognition (testing). During recognition, a subject’s key is matched against those in the database, producing a similarity score for each match. However, some drawbacks exist. For example, iris scanning is very reliable but presently too intrusive, while fingerprints are more socially accepted but not applicable to non-consentient people. On the other hand, face recognition represents a good solution even under less controlled conditions. In the last decade, many algorithms based on linear/non-linear methods, neural networks, wavelets, etc. have been proposed. Nevertheless, during Face Recognition Vendor Test 2002 most of them encountered problems outdoors. This lowers their reliability compared to other biometries, and underlines the need for more research. This chapter provides a survey of recent outcomes on the topic, addressing both 2D imagery and 3D models, to provide a starting reference to potential investigators. Tables containing different collections of parameters (such as input size, recognition rate, number of addressed problems) simplify comparisons. Some future directions are finally proposed.

scholarly journals Use of iris scanning as a method of biometric recognition of healthy adults participating in an Ebola vaccine trial in the Democratic Republic of the Congo. (Preprint)

2021 ◽  
Author(s):  
Trésor Zola Matuvanga ◽  
Ginger Johnson ◽  
Ynke Larivière ◽  
Emmanuel Esanga ◽  
Junior Matangila-Rika ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Democratic Republic ◽  
Vaccine Trial ◽  
Group Discussions ◽  
Republic Of The Congo ◽  
The Right ◽  
High Level ◽  
The University ◽  
Iris Scanning

BACKGROUND As part of an Ebola outbreak preparedness initiative, a partnership between the University of Antwerp and the University of Kinshasa, through an Innovative Medicines Initiative-European Union (project ‘EBOVAC 3’), implemented a clinical trial on an Ebola vaccine regimen to be administered to health care provider participants (HCP-P) in Tshuapa Province (Democratic Republic of the Congo). The EBOVAC3 clinical trial used iris scan technology to identify all HCP-P participating in the vaccine trial so the right participant received the right vaccine at the right visit. OBJECTIVE To assess the acceptability, accuracy and feasibility of iris scan technology as an identification method within a population of HCP-P in a vaccine trial in a remote setting. METHODS A mixed-method study was utilized. The acceptability was assessed prior to the trial through 12 focus group discussions (FGDs) and assessed at enrolment. Feasibility and accuracy research was conducted using a longitudinal trial study design where iris scanning was compared to the unique study ID card to identify HCP-P at enrolment, and at their follow-up visits. RESULTS During the FGDs, main concerns raised by HCP-P about the iris scan technology were that it may cause physical problems to their eyes or expose them to spiritual problems through sorcery. Though, 99.1% (95%CI: 97.1;100.0) of HCP-P in the FGDs agreed to be identified by the iris scan. Also, at enrolment 99.0% (95%CI:98.3; 99.7) HCP-P accepted to be identified by iris scan. Iris scan technology correctly identified 93.1% (95%CI:91.2; 95.0) of the participants returning for scheduled follow-up visits. Iris scanning operation lasted no more than 2 minutes 30 seconds for 96.0% (95%CI: 99.0;100.0) and one attempt was enough to identify the majority of study volunteers [69.5% (95% CI:66.1;73.0)]. CONCLUSIONS Iris scan is highly acceptable as an identification tool in a clinical trial in HCP-Ps. Its operationalization during the trial demonstrated a high-level of accuracy that can reliably identify individuals. Iris scanning is found to be feasible in clinical trials but it requires a trained operator in order to reduce the duration and the number of attempts to identify a participant.

scholarly journals Overcoming the challenges of iris scanning to identify minors (1–4 years) in the real-world setting

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Serge Masyn ◽  
Anneleen Vuchelen ◽  
Eva Santermans ◽  
Freya Rasschaert ◽  
Allieu Bangura ◽  
...  
Keyword(s):  
Real World ◽  
The Real ◽  
Real World Setting ◽  
Iris Scanning
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