Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images
Face detection is one of the most important preprocessing step in face recognition systems used in biometric identification. Face detection can also be used in searching and indexing still image or video containing faces in various size, position, and background. This paper describes a face detectio...
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| Format: | Article |
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[Yogyakarta] : Universitas Gadjah Mada
2005
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| author | Perpustakaan UGM, i-lib |
| author_facet | Perpustakaan UGM, i-lib |
| author_sort | Perpustakaan UGM, i-lib |
| collection | UGM |
| description | Face detection is one of the most important preprocessing step in face recognition systems used in biometric identification. Face detection can also be used in searching and indexing still image or video containing faces in various size, position, and background.
This paper describes a face detection system using multi-layer perceptron and Quickprop algorithm. The system achieves its ability by means of learning by examples. The training is performed using active learning method to minimize the amount of data used in training.
Experimental results show that the accuracy of the system strongly depends on the quality and quantity of the data used in training. Quickprop algorithm and active learning method improve the training speed significantly.
Keywords : face detection, neural networks, Quickprop, active learning |
| first_indexed | 2024-03-13T18:34:24Z |
| format | Article |
| id | oai:generic.eprints.org:17916 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T18:34:24Z |
| publishDate | 2005 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:179162014-06-18T00:27:32Z https://repository.ugm.ac.id/17916/ Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images Perpustakaan UGM, i-lib Jurnal i-lib UGM Face detection is one of the most important preprocessing step in face recognition systems used in biometric identification. Face detection can also be used in searching and indexing still image or video containing faces in various size, position, and background. This paper describes a face detection system using multi-layer perceptron and Quickprop algorithm. The system achieves its ability by means of learning by examples. The training is performed using active learning method to minimize the amount of data used in training. Experimental results show that the accuracy of the system strongly depends on the quality and quantity of the data used in training. Quickprop algorithm and active learning method improve the training speed significantly. Keywords : face detection, neural networks, Quickprop, active learning [Yogyakarta] : Universitas Gadjah Mada 2005 Article NonPeerReviewed Perpustakaan UGM, i-lib (2005) Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=691 |
| spellingShingle | Jurnal i-lib UGM Perpustakaan UGM, i-lib Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images |
| title | Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images |
| title_full | Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images |
| title_fullStr | Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images |
| title_full_unstemmed | Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images |
| title_short | Sistem pendeteksi wajah manusia pada citra digital=Human face detection system on digital images |
| title_sort | sistem pendeteksi wajah manusia pada citra digital human face detection system on digital images |
| topic | Jurnal i-lib UGM |
| work_keys_str_mv | AT perpustakaanugmilib sistempendeteksiwajahmanusiapadacitradigitalhumanfacedetectionsystemondigitalimages |