期刊名称:International Journal of Computer Science and Network
印刷版ISSN:2277-5420
出版年度:2019
卷号:8
期号:2
页码:172-176
出版社:IJCSN publisher
摘要:Student performance is analyzed by their attendance. Nowadays manual attendance is considered as a time consuming job
and one might lose the copy of attendance. So instead of taking it manually we refer to take in biometric, on the whole we want the
total work to be an automated process. For it, to be automated the main goal is to recognize and verify a person’s face from the
screenshot captured, because a major part comes with the individual faces and then the information is checked in file along with marks
the attendance for student. Traditional face recognition systems take up a method to identify a face from the given input, but in case the
output is not accurate and sometimes is hazy. In this paper our aim is to deviate from such traditional systems and introduce a new
approach to identify a student using Face Recognition System. There are many techniques which can be executed with it such as Multi
Linear subspace learning using Tensor representation, hidden Markov model etc.
关键词:Automatic face Detection; Face Identification; Face recognition; Feature Extraction; Face Matching;