Krystal in Embedding to a Skin Tone Detection Algorithm

Challenges face biometrics researchers and particularly those who are dealing with skin tone detection include choosing a color space, generating the skin model and processing the obtained regions to fit applications. The majority of existing methods have in common the de-correlation of luminance from the considered color channels. Luminance is underestimated since it is seen as the least contributing color component to skin color detection

The advantages of the approach are the reduction of space dimensionality from 3D, RGB, to 1D space advocating its unfussiness and the construction of a rapid classifier necessary for real time applications. The proposed method generates a 1D space map without prior knowledge of the host image. A comprehensive experimental test was conducted and initial results are presented. This paper also discusses an application of the method to image steganography where it is used to orient the embedding process.