Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah
Attendance is the documentation of presence and activity in institution. A software has been made to monitor the attendance using face recognition. The software uses camera to capture the image and works on any background color. The aim of this paper is to calculate its performance with sensitivity,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universitas Gadjah Mada
2017-05-01
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| Series: | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| Subjects: | |
| Online Access: | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/319 |
| _version_ | 1818446002120556544 |
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| author | Romi Wiryadinata Umi Istiyah Rian Fahrizal Priswanto Siswo Wardoyo |
| author_facet | Romi Wiryadinata Umi Istiyah Rian Fahrizal Priswanto Siswo Wardoyo |
| author_sort | Romi Wiryadinata |
| collection | DOAJ |
| description | Attendance is the documentation of presence and activity in institution. A software has been made to monitor the attendance using face recognition. The software uses camera to capture the image and works on any background color. The aim of this paper is to calculate its performance with sensitivity, specificity, and accuracy using Eigenface Algorithm and Principal Component Analysis (PCA) method. Face recognition in this paper is based on Eigenface algorithm, using pixel information from images captured by webcam. The image is represented using PCA method. The software is tested using different expressions and accessories in object’s face. The performance of the software indicates 73.33%sensitivity, 52.17% specificity, and 86.67% accuracy. The successful rate in identifying the face for distance testing is 70%, while successful rate of 85% is achieved for object wearing eyeglasses and veil (jilbab). Furthermore, the successful rate for various expression is 85.33%. |
| first_indexed | 2024-12-14T19:40:47Z |
| format | Article |
| id | doaj.art-a8e8e3de59e349fa87e5fc289513311f |
| institution | Directory Open Access Journal |
| issn | 2301-4156 2460-5719 |
| language | English |
| last_indexed | 2024-12-14T19:40:47Z |
| publishDate | 2017-05-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| spelling | doaj.art-a8e8e3de59e349fa87e5fc289513311f2022-12-21T22:49:43ZengUniversitas Gadjah MadaJurnal Nasional Teknik Elektro dan Teknologi Informasi2301-41562460-57192017-05-016222222910.22146/jnteti.v6i2.319Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi WajahRomi Wiryadinata0Umi Istiyah1Rian Fahrizal2Priswanto3Siswo Wardoyo4Universitas Sultan Ageng TirtayasaUniversitas Sultan Ageng TirtayasaUniversitas Sultan Ageng TirtayasaUniversitas Jenderal SoedirmanUniversitas Sultan Ageng TirtayasaAttendance is the documentation of presence and activity in institution. A software has been made to monitor the attendance using face recognition. The software uses camera to capture the image and works on any background color. The aim of this paper is to calculate its performance with sensitivity, specificity, and accuracy using Eigenface Algorithm and Principal Component Analysis (PCA) method. Face recognition in this paper is based on Eigenface algorithm, using pixel information from images captured by webcam. The image is represented using PCA method. The software is tested using different expressions and accessories in object’s face. The performance of the software indicates 73.33%sensitivity, 52.17% specificity, and 86.67% accuracy. The successful rate in identifying the face for distance testing is 70%, while successful rate of 85% is achieved for object wearing eyeglasses and veil (jilbab). Furthermore, the successful rate for various expression is 85.33%.http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/319sistem presensideteksi wajaheigenfaceprincipal component analysis |
| spellingShingle | Romi Wiryadinata Umi Istiyah Rian Fahrizal Priswanto Siswo Wardoyo Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah Jurnal Nasional Teknik Elektro dan Teknologi Informasi sistem presensi deteksi wajah eigenface principal component analysis |
| title | Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah |
| title_full | Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah |
| title_fullStr | Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah |
| title_full_unstemmed | Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah |
| title_short | Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah |
| title_sort | sistem presensi menggunakan algoritme eigenface dengan deteksi aksesoris dan ekspresi wajah |
| topic | sistem presensi deteksi wajah eigenface principal component analysis |
| url | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/319 |
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