Abstract

Steganalysis plays an important role in identifying unacceptable information transmitted through internet communication system. In the process of steganalysis many untoward incidents can be avoided. Many techniques have been proposed and new techniques are tried with different combinations to maximize the efficiency of retrieving hidden information. We have proposed a combination of polynomial vector with Fisher’s discriminant function using the information of bitplane and radial basis neural network (PVDRBF). Each set of pixel is preprocessed to obtain interpolated pixels using PDV. This is further trained by Fisher’s discriminant method that transforms once again into 2-dimensional vector. A processing of training the RBF is adopted to obtain set of final weights. During implementation, the final weights are used to classify the presence of hidden information. Key words:

Citations