Application of Feature Selection in Image Steganalysis
Minqing Zhang · Jisuanji gongcheng · 2008
In order to reduce the complexity of computation and improve the generalization of two binary-class support vector machines in images steganalysis,this paper brings forward a steganalysis method based on genetic algorithms and multiple one-class SVM.Genetic algorithm is applied to search and identify the potential informative features combinations for classification.The classification accuracy from the support vector machine classifier is used to determine the fitness in genetic algorithm.Experimental results show that the efficiency of detecting system is improved.