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Skin Tone Based Secret Data Hiding in Images Using Wavelet Transform

JEEVAN KISHOR GANGEPOGU, Harini Vemula

Abstract


Biometric feature accustomed implement steganography is skin tone region of pictures. Here secret information is embedded inside skin region of image that may offer a wonderful secure location for information activity. For this skin tone detection is performed exploitation HSV (Hue, Saturation and Value) colour area to boot secret information embedding is performed exploitation frequency domain approach – DWT (Discrete rippling Transform), DWT outperforms than DCT (Discrete Cosine Transform). Secret data is hidden in one in all the high frequency sub-band of DWT by tracing skin pixels therein sub-band. Four bit secret key and cropping results into associate degree increased security than activity information without cropping i.e. in whole image therefore cropped region works as a key at secret writing aspect. This study shows that by adopting an object orienting steganography mechanism, in the sense that, we have a tendency to track skin tone objects in image, we get a higher security

 

 


Keywords


Biometrics; Skin tone detection; DWT; DCT; Cropping; secret key; Security; PSNR.

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