Attendance System Management Using Face Recognition

dc.contributor.author	Mishkat, Mohammad
dc.contributor.author	Khan, Md. Nura Rabbi
dc.contributor.author	Arifa, Fhamida Akhter
dc.date.accessioned	2020-06-16T11:01:41Z
dc.date.available	2020-06-16T11:01:41Z
dc.date.issued	2019-12-07
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3976
dc.description.abstract	“ATTENDANCE SYSTEM MANAGEMENT USING FACE RECOGNITION” is a Machine Learning project. This project helps to take attendance by recognizing trained students real time image. It will make taking attendance easy. Its user friendly, this project GUI is so simple so anyone can easily use this. OpenCV and Tkinter is the main library we used to build this system. This project will helpful to research in OpenCV face detection and face recognition. This system recognition accuracy is 80%. This system can be used in school, college, university and office. This system will save time and energy for who takes attendance. We tried our best to make this system user friendly and efficient.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Daffodil International University	en_US
dc.relation.ispartofseries	;P15469
dc.subject	Human face recognition	en_US
dc.subject	Machine learning	en_US
dc.title	Attendance System Management Using Face Recognition	en_US
dc.type	Other	en_US