Facial and keystroke biometric recognition for computer based assessments

Simple item page
dc.contributor.authorAdetunji, Temitope Oluwafunmilayo
dc.contributor.co-supervisorAppiah, Martin, Dr.
dc.contributor.supervisorZuva, Tranos, Prof.
dc.date.accessioned2022-12-12T00:02:30Z
dc.date.available2022-12-12T00:02:30Z
dc.date.issued2019-12
dc.descriptionM. Tech. (Department of Information Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology.en_US
dc.description.abstractComputer based assessments have become one of the largest growing sectors in both nonacademic and academic establishments. Successful computer based assessments require security against impersonation and fraud and many researchers have proposed the use of Biometric technologies to overcome this issue. Biometric technologies are defined as a computerised method of authenticating an individual (character) based on behavioural and physiological characteristic features. Basic biometric based computer based assessment systems are prone to security threats in the form of fraud and impersonations. In a bid to combat these security problems, keystroke dynamic technique and facial biometric recognition was introduced into the computer based assessment biometric system so as to enhance the authentication ability of the computer based assessment system. The keystroke dynamic technique was measured using latency and pressure while the facial biometrics was measured using principal component analysis (PCA). Experimental performance was carried out quantitatively using MATLAB for simulation and Excel application package for data analysis. System performance was measured using the following evaluation schemes: False Acceptance Rate (FAR), False Rejection Rate (FRR), Equal Error Rate (EER) and Accuracy (AC), for a comparison between the biometric computer based assessment system with and without the keystroke and face recognition alongside other biometric computer based assessment techniques proposed in the literature. Successful implementation of the proposed technique would improve computer based assessment’s reliability, efficiency and effectiveness and if deployed into the society would improve authentication and security whilst reducing fraud and impersonation in our society.en_US
dc.identifier.urihttp://hdl.handle.net/10352/569
dc.language.isoenen_US
dc.publisherVaal University of Technologyen_US
dc.subjectKeystroke biometric recognitionen_US
dc.subjectFacial biometric recognitionen_US
dc.subjectComputer based assessmentsen_US
dc.subjectBiometric technologiesen_US
dc.subjectAuthenticationen_US
dc.subjectBiometric systemen_US
dc.subjectMATLABen_US
dc.subjectFalse Acceptance Rate (FAR)en_US
dc.subjectPrincipal Component Analysis (PCA)en_US
dc.subjectFalse Rejection Rate (FRR)en_US
dc.subjectEqual Error Rate (EER)en_US
dc.subject.lcshDissertations, Academic -- South Africa.en_US
dc.subject.lcshBiometric identification.en_US
dc.subject.lcshImage analysis.en_US
dc.subject.lcshImage processing -- Digital techniques.en_US
dc.subject.lcshEducational tests and measurements -- Data processing.en_US
dc.titleFacial and keystroke biometric recognition for computer based assessmentsen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TO_ADETUNJI Distinction Masters.pdf
Size:
1.53 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.02 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Theses and Dissertations (Information Communication Technology)