Evaluation Of Suitable Color Model For Human Face Detection

Skin color as a technique for face detection is a technology applied in many, applications such as pornography filtering, human-computer interaction, and face recognition systems. A human face detection approach is presented in this paper using the skin color segmentation algorithm. Choosing. appropriate color model is very important to increase algorithm efficiency Yet, there is no conclusion about which color space is the best fit for skin color detection. The motivation is to provide a platform to decide which color model is the best to build efficient skin color detector that can improve the overall face detection face system. The proposed technique is based on finding the maximum energy of histogram signal for skin which is limited to the ranges for each component of the color space under study. Different parameters such as energy of the histogram of each component of the color space, the limit of skin range in each color space and the maximum energy of the color spaces are used to evaluate the result. The result indicates that YCbCr provide better performance compared to. YUV, HSV and CMYK color A detection rate of model. 97.51% was obtained using PICS database. (C) 2015 IASE Publisher All rights reserved