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Implementation of Skin Tone Based Steganography in Biometric Applications

机译:基于肤色的隐写术在生物识别应用中的实现

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Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. 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 [1]. Here secret data is embedded within skin region of image that provides 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 out performs 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. Cropping results into an enhanced security than hiding data without cropping i.e. in whole image, so cropped
机译:隐秘术是将数据的存在隐藏在另一种传输介质中以实现秘密通信的艺术。它不会取代加密技术,而是使用其隐蔽功能来提高安全性。本文使用的隐写术方法是基于生物识别技术的。用于实现隐写术的生物特征是图像的肤色区域[1]。这里,秘密数据被嵌入图像的皮肤区域内,从而为数据隐藏提供了极好的安全位置。为此,使用HSV(色相,饱和度和值)色彩空间执行肤色检测。另外,秘密数据嵌入是使用频域方法进行的-DWT(离散小波变换),DWT out的执行比DCT(离散余弦变换)大。通过追踪该子频带中的皮肤像素,秘密数据被隐藏在DWT的高频子频带之一中。通过交互式裁剪图像,可以应用数据隐藏的不同步骤。与不裁剪即隐藏整个图像的情况下隐藏数据相比,裁剪可以提高安全性

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