A Skin Tone Detection Algorithm for an Adaptive DWT Based Approach to Steganography using Biometrics

Challenges face biometrics researchers and particularly those who are dealing with skin tone detection include select a colour space, generating the particular skin model and processing the obtained regions. The majority of obtainable methods have in common the de-correlation of luminance from the considered colour channels. Luminance is the miscalculate since it is seen as the least causal colour component to skin colour detection. This type of work ques-tions this claim by showing that luminance can be useful in the segregation of skin and non-skin clusters. To this end, here we use a new colour space which contains error signals derived from differentiate the grayscale map and the non-red encoded grayscale version. The advantages of the approach are the reduction of space dimensionality from 3D, RGB, to 1D space advocating its candor and the construction of a rapid classifier necessary for real time applications. The fu-ture method generates a 1D space map without prior know-ledge of the host image. A complete experimental test was conducted and initial results are presented. This paper also discusses an application of the method to image steganogra-phy where it is used to orient the embedding process since skin information is deemed to be psycho visually redundant.