Open AccessFace Recognition for a Student Violation Point System in Schools Using the Fisherface Algorithm
Author(s) -
Dedy Arisandi,
M F Syahputra,
Sarah Purnamawati,
Ainul Hizriadi,
M. H. Azra
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1898/1/012024
Subject(s) - computer science , facial recognition system , android (operating system) , linear discriminant analysis , point (geometry) , analytics , feature extraction , face (sociological concept) , artificial intelligence , speech recognition , data mining , operating system , mathematics , social science , geometry , sociology
The violation point system is one of the policies to increase discipline in schools. If a student commits a violation, then the student will be processed by the teacher and record the violation into the violation note held by each teacher. If a student’s violation record is contained in the notebooks of several teachers, it will be difficult to recapitulate the violations committed by students. This study makes a system approach and development that can centrally record student violations that run on the Android platform. To facilitate student recognition, the system is made using face recognition. Face recognition is implemented into this research because data retrieval can be done in real time with an Android smartphone camera so there is no need for additional devices. Face recognition uses the Fisherface method, which is a facial recognition method that uses Linear Discriminant Analytics for its feature extraction process. The accuracy obtained from the research is 90%.