Face recognition attendance system using Local Binary Pattern (LBP)
| Main Authors: | J. Elias, Shamsul; Universiti Teknologi MARA (UiTM), Mohamed Hatim, Shahirah; Universti Teknologi MARA, Anisah Hassan, Nur; Universti Teknologi MARA, Marlia Abd Latif, Lily; Universti Teknologi MARA, Badlishah Ahmad, R.; Universiti Sultan Zainal Abidin (UniSZA), Yusof Darus, Mohamad; Universti Teknologi MARA, Shahuddin, Ahmad Zambri; Universti Teknologi MARA |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Institute of Advanced Engineering and Science
, 2019
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| Subjects: | |
| Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/1439 http://journal.portalgaruda.org/index.php/EEI/article/view/1439/1027 |
Daftar Isi:
- Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.