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dc.contributor.authorAsaduzzaman, Abu
dc.contributor.authorMummidi, Abhishek
dc.contributor.authorMridha, Muhammad F.
dc.contributor.authorSibai, Fadi N.
dc.date.accessioned2016-10-11T10:25:34Z
dc.date.available2016-10-11T10:25:34Z
dc.date.issued2015
dc.identifier.citationA. Asaduzzaman, A. Mummidi, M. F. Mridha and F. N. Sibai, "Improving facial recognition accuracy by applying liveness monitoring technique," 2015 International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, 2015, pp. 133-136en_US
dc.identifier.isbn978-1-4673-9695-0
dc.identifier.issn2378-2668
dc.identifier.otherWOS:000382816600033
dc.identifier.urihttp://dx.doi.org/10.1109/ICAEE.2015.7506814
dc.identifier.urihttp://ieeexplore.ieee.org/document/7506814/
dc.identifier.urihttp://hdl.handle.net/10057/12469
dc.descriptionClick on the URL to access the article (may not be free).en_US
dc.description.abstractIn a typical transmission control protocol and Internet protocol (TCP/IP) suite, there are several ways, such as using photograph, three-dimensional (3D) model, and video clip of a valid user to mock the facial recognition. Studies show that there has been significant improvement in detecting photograph and 3D model spoofing. However, there is no such improvement in detecting video spoofing. Recent studies suggest that liveness monitoring using the facial features has potential to improve security, especially in biometric systems. In this paper, a liveness monitoring technique is introduced to assist facial recognition. In the proposed system, an eye blinking pattern is used through a real-time generic web-camera. An eye blinking password system using ultrasonic range sensing module is developed for liveness detection of the users. The system is tested by conducting experiments using 15 valid users and 100 different user appearances. According to the experimental results, the proposed system achieves 99% face recognition accuracy and 99% liveliness detection performance.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2015 International Conference on Advances in Electrical Engineering (ICAEE);
dc.subjectEye blinking passworden_US
dc.subjectFacial recognitionen_US
dc.subjectLiveliness monitoringen_US
dc.subjectSecurity in biometric systemsen_US
dc.subjectVideo spoofingen_US
dc.titleImproving facial recognition accuracy by applying liveness monitoring techniqueen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US


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