1. DSpace at My University
  2. Faculty Publications
  3. Research - Dept. of Computer Engg.
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1817
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKhan, Suhel (11CO25)-
dc.contributor.authorKhan, Shoeb (11CO24)-
dc.contributor.authorZakariya, Md. Hussian (12CO63)-
dc.contributor.authorPathan, Nazim (11CO21)-
dc.contributor.authorKhan, Mubashir-
dc.contributor.authorGopale, Apeksha-
dc.date.accessioned2016-10-07T09:00:27Z-
dc.date.available2016-10-07T09:00:27Z-
dc.date.issued2016-04-
dc.identifier.issn2320-9801-
dc.identifier.urihttp://www.aiktcdspace.org:8080/jspui/handle/123456789/1817-
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.publisherInternational Journal of Innovative Research in Computer and Communication Engineeringen_US
dc.relation.ispartofseriesVol. 4;Issue 4-
dc.subjectStaff Publication - COen_US
dc.subjectStaff Publication - SoETen_US
dc.subjectStudent Publication - COen_US
dc.subjectStudent Publication - SoET-
dc.titleAutomated Attendance System Using Face Recognitionen_US
dc.typeArticleen_US
Appears in Collections:Research - Dept. of Computer Engg.

Files in This Item:
File Description SizeFormat 
aiktcDspace1817.pdf147.02 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.