|International Journal of Applied Information Systems|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 3 - Number 4|
|Year of Publication: 2012|
|Authors: Amanpreet Kaur, B.v Kranthi|
Amanpreet Kaur, B.v Kranthi . Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation. International Journal of Applied Information Systems. 3, 4 ( July 2012), 30-33. DOI=10.5120/ijais12-450521
Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation under varying lighting conditions. Experimental results show that CIELab color space is better than other color space. It can improve the performance of face segmentation under poor or strong lighting conditions.