In this process we have been several studies and different approaches proposed on skin color modeling and recognition. The goal of skin color detection is to build a decision rule that will discriminate between skin and non-skin pixels based on color components. In order to obtain adequate distinction between skin and non-skin regions, color transformation effectively separating luminance from chrominance is needed. Skin detection techniques usually use color components in the color spaces, such as HSV, YCbCr even though the input image is generally in RGB format. That is because RGB components are subject to the lighting conditions. Skin tones vary significantly within and across individuals. Furthermore the skin detection methods are insufficient when the non-skin regions closed to skin tones takes place in the image. In this study a biometric purpose image filter according to skin analysis is mentioned. For skin analysis various color spaces like RGB, normalized RGB, HSV, YCbCr and TSL studied and transformations in these spaces are performed.