Face Recognition for a Student Violation Point System in Schools Using the Fisherface Algorithm
| Autor: | Dedy Arisandi, Ainul Hizriadi, S Purnamawati, Mohammad Fadly Syahputra, M. H. Azra |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1898:012024 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1898/1/012024 |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
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