Secret Data Hiding in Images by using DWT Technique’s
Swapnali Zagade1, Smita Bhosale2
1Swapnali Zagade, Electronics and Telecommunication, Pune University, Pune, India.
2Smita Bhosale, Electronics and Telecommunication, Pune University, Pune, India.
Manuscript received on May 25, 2014. | Revised Manuscript received on June 13, 2014. | Manuscript published on June 30, 2014. | PP: 230-235 | Volume-3, Issue-5, June 2014. | Retrieval Number: E3215063514/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Steganography method used in this paper is based on biometrics. And the biometric feature used to implement steganography is skin tone region of images . Communication of data by maintaining confidentiality is a major issue everywhere, so to increase the security a non – conventional approach called steganography is proposed. “Steganography” is an art of “hiding data within data” [1, 2]. In general, Stego means “covering” and graphic means “writing”. Combining these two terms gives the meaning of steganography, i.e. “covered writing” . 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). In DWT Different techniques are used. Secret data is hidden in one of the high frequency sub-band of DWT by tracing skin pixels in that sub-band. Different steps of data hiding are applied by cropping an image interactively. Cropping results into an enhanced security than hiding data without cropping i.e. in whole image, so cropped region works as a key at decoding side. 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 also satisfactory PSNR (Peak- Signal-to-Noise Ratio) is obtained and MSE.
Keywords: Skin tone detection, B-Panel, Cropping, DWT Security, PSNR, MSE.