A New Approach for E-mail Spam Detection by using Hybrid of GA-AIS Algorithms and SVM Classification

Recovery images as one of the major issues in the field of image processing has many applications, which in recent decades has been welcomed by many researchers. In this paper, also features content are used to retrieve the images that these features are extracted by Hierarchical Geometric Centroids method, so after extracting them, these features in the proposed method are used to retrieve the images. The proposed method is composed of two algorithms of Multi-Layer Perceptron Artificial Neural Network (MLP ANN) and Discriminant Analysis (DA) that to evaluate it two criteria of accuracy evaluation and recalling were used that the results of the proposed method with two MLP ANN and DA algorithms have been studied. Results showed that the proposed method has the Precision rate of 0.931 and recall rate of 0.943, and MLP ANN algorithm has the Precision rate of 0.751 and recall rate of 0.758 and DA has the Precision rate of 0.681, and recall rate of 0.651.