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dc.contributor.authorKhan, Mubashir-
dc.contributor.authorZakariya, Md. Hussian (12CO63)-
dc.contributor.authorKhan, Suhel (11CO25)-
dc.contributor.authorKhan, Shoeb (11CO24)-
dc.contributor.authorPathan, Nazim (11CO21)-
dc.date.accessioned2016-05-12T04:35:37Z-
dc.date.available2016-05-12T04:35:37Z-
dc.date.issued2016-05-
dc.identifier.urihttp://www.aiktcdspace.org:8080/jspui/handle/123456789/1574-
dc.descriptionProject Report Submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Engineeringen_US
dc.description.abstractThe objective of this system is to present an automated system for human face recognition for an organization or institute to mark the attendance of their students or employees. This paper introduces face detection method using the Voila and Jones algorithm and recognition using correlation technique. The system will record the attendance of the students in class room environment. The above system is fully automated and easily deployable. User gets an authentication to upload the image containing file and also to view the attendance.en_US
dc.language.isoen_USen_US
dc.publisherAIKTCen_US
dc.subjectProject Report - COen_US
dc.titleAutomated attendance system using face recognitionen_US
dc.typeProject Reporten_US
Appears in Collections:Computer Engineering - Project Reports

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