Image Stenography Skin Tone Detection

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IJCA Proceedings on International Conference in Computational Intelligence (ICCIA2012)
© 2012 by IJCA Journal
iccia - Number 10
Year of Publication: 2012
Authors:
Deepali Bhamare
Vikas Gupta
P.B.Salunkhe

Deepali Bhamare, Vikas Gupta and P.B.Salunkhe. Article: Image Stenography Skin Tone Detection. IJCA Proceedings on International Conference in Computational Intelligence (ICCIA 2012) ICCIA(10):-, March 2012. Full text available. BibTeX

@article{key:article,
	author = {Deepali Bhamare and Vikas Gupta and P.B.Salunkhe},
	title = {Article: Image Stenography Skin Tone Detection},
	journal = {IJCA Proceedings on International Conference in Computational Intelligence (ICCIA 2012)},
	year = {2012},
	volume = {ICCIA},
	number = {10},
	pages = {-},
	month = {March},
	note = {Full text available}
}

Abstract

Steganography is the art of hiding the existence of data in another transmission medium, archive secrete communication.[1] The goal of stegannography is to hide an information message inside harmless cover medium in such way that it is not possible even to detect that secrete message. It does not replace cryptography but rather boosts the security using its obscurity features. Steganography method used in this paper is based on biometrics. And the biometric feature used to implement steganography is skin tone region of images [2]. 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. Different steps of data hiding are applied by cropping an image interactively. With the help of cropping an enhanced security than hiding data without cropping i.e. in whole image, so cropped region works as a key at decoding side. So with this object oriented steganogaphy we track skin tone objects in image with the higher security and satisfactory PSNR (Peak-Signal-to-Noise Ratio) .Modern steganography’s goal is to keep its mere presence undetectable.

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