Automated Attendance System Using Face Recognition

Khan, Suhel (11CO25); Khan, Shoeb (11CO24); Zakariya, Md. Hussian (12CO63); Pathan, Nazim (11CO21); Khan, Mubashir; Gopale, Apeksha

dc.contributor.author	Khan, Suhel (11CO25)
dc.contributor.author	Khan, Shoeb (11CO24)
dc.contributor.author	Zakariya, Md. Hussian (12CO63)
dc.contributor.author	Pathan, Nazim (11CO21)
dc.contributor.author	Khan, Mubashir
dc.contributor.author	Gopale, Apeksha
dc.date.accessioned	2016-10-07T09:00:27Z
dc.date.available	2016-10-07T09:00:27Z
dc.date.issued	2016-04
dc.identifier.issn	2320-9801
dc.identifier.uri	http://www.aiktcdspace.org:8080/jspui/handle/123456789/1817
dc.description.abstract	The 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.iso	en_US	en_US
dc.publisher	International Journal of Innovative Research in Computer and Communication Engineering	en_US
dc.relation.ispartofseries	Vol. 4;Issue 4
dc.subject	Staff Publication - CO	en_US
dc.subject	Staff Publication - SoET	en_US
dc.subject	Student Publication - CO	en_US
dc.subject	Student Publication - SoET
dc.title	Automated Attendance System Using Face Recognition	en_US
dc.type	Article	en_US