Automated attendance system using face recognition

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

dc.contributor.author	Khan, Mubashir
dc.contributor.author	Zakariya, Md. Hussian (12CO63)
dc.contributor.author	Khan, Suhel (11CO25)
dc.contributor.author	Khan, Shoeb (11CO24)
dc.contributor.author	Pathan, Nazim (11CO21)
dc.date.accessioned	2016-05-12T04:35:37Z
dc.date.available	2016-05-12T04:35:37Z
dc.date.issued	2016-05
dc.identifier.uri	http://www.aiktcdspace.org:8080/jspui/handle/123456789/1574
dc.description	Project Report Submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Engineering	en_US
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	AIKTC	en_US
dc.subject	Project Report - CO	en_US
dc.title	Automated attendance system using face recognition	en_US
dc.type	Project Report	en_US