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Facial expression detection (FED) and extraction show the most important role in face recognition. In this research, we proposed a new algorithm for automatic live FED using radial basis function support Haar Wavelet Transform is used for feature extraction and RBF-SVM for classification. Edges of the facial image are detected by genetic algorithm and fuzzy-C-means. The experimental results used CK+...
When utilizing neural networks as a classifier in face detection systems there are two important problems which should be solved: 1. High computations between the network layers and 2. Adjusting the topology of the network. The proposed system in this paper uses a genetic algorithm to directly solve the second problem and a fuzzy inference engine as a pre-classifier to indirectly deal with the first...
Recently, many classes of objects can be efficiently detected by the way of machine learning techniques. In practice, boosting techniques are among the most widely used machine learning for various reasons. This is mainly due to low false positive rate of the cascade structure offering the possibility to be trained by different classes of object. However, it is especially used for face detection since...
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