IR 4.0 generation of face recognition based system
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Universiti Malaysia Perlis (UniMAP)
2022
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my.unimap-750892022-05-09T01:05:30Z IR 4.0 generation of face recognition based system Aifian Saizal, Md Mustam M.F.L Abdullah Farhana, Ahmad Po’ad Ariffuddin, Joret faiz@uthm.edu.my Attendance system Face recognition Viola-Jones algorithm HOG feature extraction Link to publisher's homepage at http://ijneam.unimap.edu.my Nowadays, the usage of a manual attendance system has become irrelevant with the current technological advancements. Although, there are many advanced attendance systems such as RFID attendance. It does not solve the problem face in the manual system, like inaccurate data, falsification of attendance, and time-consuming. Therefore, this paper suggests a face recognition attendance system to improve these drawbacks, as it can offer accurate attendance and required less time in recording attendance. Viola-Jones algorithm and Histogram of Oriented Gradient (HOG) feature extraction are techniques applied in this paper. The Viola-Jones algorithm will detect faces on the received image while the HOG feature extraction technique algorithm extracts the facial feature and compare it with the database for face recognition. An android application was developed for the user to upload and check the attendance record done by the face recognition process. 2022-05-09T01:05:30Z 2022-05-09T01:05:30Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 207-218 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75089 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP) |
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English |
| topic |
Attendance system Face recognition Viola-Jones algorithm HOG feature extraction |
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Attendance system Face recognition Viola-Jones algorithm HOG feature extraction Aifian Saizal, Md Mustam M.F.L Abdullah Farhana, Ahmad Po’ad Ariffuddin, Joret IR 4.0 generation of face recognition based system |
| description |
Link to publisher's homepage at http://ijneam.unimap.edu.my |
| author2 |
faiz@uthm.edu.my |
| author_facet |
faiz@uthm.edu.my Aifian Saizal, Md Mustam M.F.L Abdullah Farhana, Ahmad Po’ad Ariffuddin, Joret |
| format |
Article |
| author |
Aifian Saizal, Md Mustam M.F.L Abdullah Farhana, Ahmad Po’ad Ariffuddin, Joret |
| author_sort |
Aifian |
| title |
IR 4.0 generation of face recognition based system |
| title_short |
IR 4.0 generation of face recognition based system |
| title_full |
IR 4.0 generation of face recognition based system |
| title_fullStr |
IR 4.0 generation of face recognition based system |
| title_full_unstemmed |
IR 4.0 generation of face recognition based system |
| title_sort |
ir 4.0 generation of face recognition based system |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2022 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75089 |
| _version_ |
1738511704818450432 |