A Current-Mode VLSI Architecture for Skin Detection
Faculty of Computing, Health and Science
School of Engineering and Mathematics / Centre for Communications Engineering Research
A current-mode VLSI architecture enabling real-time skin detection processing is presented. Based on a statistical skin color model, it achieves pixel classification on readout in the normalized RGB color space. A single processing unit is used to classify all pixels of the input RGB image. This results in reduced mismatch associated errors and in an increased pixel fill-factor. Furthermore, the proposed current-mode architecture is programmable, allowing for the external control of all classifier parameters to compensate for mismatch and changing lighting conditions.