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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2011 Vol.3(1): 16-22 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.277

A Secure Skin Tone based Steganography Using Wavelet Transform

Anjali A. Shejul, Umesh L. Kulkarni
Abstract—Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. Steganography method used in this paper is based on biometrics. And the biometric feature used to implement Steganography is skin tone region of images [1]. Here secret data is embedded within skin region of image that will provide an excellent secure location for data hiding. For this skin tone detection is performed using HSV (Hue, Saturation and Value) color space. Additionally secret data embedding is performed using frequency domain approach - DWT (Discrete Wavelet Transform), DWT outperforms than DCT (Discrete Cosine Transform). Secret data is hidden in one of the high frequency sub-band of DWT by tracing skin pixels in that sub-band. For data hiding two cases are considered, first is with cropping and other is without cropping. In both the cases different steps of data hiding are applied either by cropping an image interactively or without cropping i.e. on whole image. Both cases are compared and analyzed from different aspects. This is concluded that both cases offer enough security. Main feature of with cropping case is that this results into an enhanced security because cropped region works as a key at decoding side. Where as without cropping case uses embedding algorithm that preserves histogram of DWT coefficient after data embedding also by preventing histogram based attacks and leading to a more security. This study shows that by adopting an object oriented steganography mechanism, in the sense that, we track skin tone objects in image, we get a higher security. And simulation result shows that satisfactory PSNR (Peak-Signal-to-Noise Ratio) is also obtained.

Index Terms—Biometrics, DCT, DWT, PSNR, Security, Skin tone detection, With Cropping, Without Cropping.

Anjali A. Shejul is with the Department of Computer Engineering, University of Mumbai, Maharashtra, India. (e-mail: anjalishejul123@gmail.com)
Umesh L. Kulkarni is with the Department of Computer Engineering, University of Mumbai, Maharashtra, India. (e-mail:kumeshl@rediffmail.com)

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Cite: Anjali A. Shejul, Umesh L. Kulkarni, "A Secure Skin Tone based Steganography Using Wavelet Transform," International Journal of Computer Theory and Engineering vol. 3, no. 1, pp. 16-22, 2011.
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