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This paper proposes a robust schema for face detection system via Gaussian mixture model to segment image based on skin color. After skin and non skin face candidatespsila selection, features are extracted directly from discrete cosine transform (DCT) coefficients computed from these candidates. Moreover, the back-propagation neural networks are used to train and classify faces based on DCT feature...
Artificial neural networks are highly parallel structures inspired by the human brain. They have been used successfully in many human-like applications, such as pattern recognition. Performance of these networks can be enhanced if used properly in conjunction with equally powerful mathematical tools. In this paper, we used the discrete wavelet transform as a pre-processing tool for two well-known...
In this paper, we use the concept of neural networks to evaluate the underground temperature of any type and depth of earth. Two models have been developed for this purpose namely mathematical and intelligent. The mathematical model is developed taking into account properties of the soil and meteorological conditions, whereas the intelligent model is a development of data driven neural network model...
In this paper we present some methods to combine the outputs of a set of Arabic handwritten word recognition systems to achieve a decision with a higher performance. This performance can be expressed by lower rejection rates and higher recognition rates. The used methods range from voting schemes based on results of different recognizers to a neural network decision based on normalized confidences...
This paper shows an approach for ECG signal processing based on artificial neural networks ANN and transform domains (discrete wavelet transform DWT and Fourier transform FT). The neural networks NNs are introduced to solve different pattern recognition problems associated with ECG analysis. A Multi-Layer Perceptron Neural Network MLP-NN is used in the present work with Back Propagation BP algorithm...
The In this essay, we are going to design a medical expert system by using neural network. In order to test the system, we used the data in the intended bank e.g. BUPA liver disorders. We compare the operation of the system with parametric methods -like Bayesian decision making theory- and non parametric methods. By analysis of the data, we first discovered an undesirable field in the bank which causes...
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