PRIVATE CONFIDENTIAL DATA HIDING BY USING WAVELET APPROACH

Shilparani Noubade, Hemavathi.N.V

Abstract: This paper introduces a secret data hiding method which is based on the biometric features. In this rapid technically developing world sharing multimedia on an internet has become a trend, digital media like audio, video and images are being shared through social networks. Also there is a possibility of threatening these digital media whichever sent through internet so to address this issue one need to take security measure to get strong communication system which should be able to withstand against hackers. Steganography by using discrete wavelet transform (DWT). Here in this context skin region particularly face area is opted out. Because, compared to all other skin area like hand, neck etc., face region will be brighter. Skin classifier Adaboost is used. In this paper graphic manipulation process called cropping is introduced, also cropped value helps in extraction process. Here, data is embedded by tracing skin pixel in frequency band and strictly speaking data is embedded in G and B plane. Simulation is carried out by using MATLAB software

Keywords: Steganography, Biometric, DWT, skin classifier, cropping, G and B plane, MATLAB, peak signal to noise ratio and mean square error.

DOI: https://doi.org/10.15623/ijret.2015.0417007