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 NonPeerReviewed |
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[Yogyakarta] : Universitas Gadjah Mada
2005
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| Online Access: | https://repository.ugm.ac.id/17916/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=691 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | 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 |
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