Published Paper Details:

Biometric recognition has recently gained significant attention from computer vision researchers. This paper presents a human skin recognition system based on skin detection. Main innovation in this paper includes biometric recognition, sign language processing, automatic age estimation, gait interpretation and other image processing oriented studies, detecting various regions of the human body such as face, hands etc. has great importance. Furthermore with the rapid development of internet, building up the image filters is required. In this study a biometric purpose image filter according to skin analysis is mentioned. Skin detection techniques usually use color components in the color spaces like RGB, normalized RGB, HSV, YCbCr and TSL or YIQ even though the input image is generally in RGB format studied and transformations in these spaces are performed. Skin tones vary significantly within and across individuals. In skin detection with neural networks (NN), the NN processes every location of the image in order to detect anywhere.