Skin condition detection of smartphone face image using multi-feature decision method

In this paper, we proposed a system which can detect the skin condition such as wrinkles, skin pores and acnes on smartphone using multi-feature decision method. After the user inputs the facial image into our system, the system will conduct the image preprocessing in the first place, then divide the face into 11 regions for doing the next stage of detection. Next, our system will detect the following different kinds of skin conditions: wrinkles, skin pores, and acnes using our multi-feature decision method based on Laws mask, Gabor filter and Kirsch filter. At last, after users receiving their personal results, they will not only find out their skin condition but also get the appropriate and customized suggestions to take care of their skin.