Facial wrinkle detection with texture feature

With the video capturing devices (e.g., webcam, digital camera, and so on) being popular, image processing has become a complex research topic. It can be widely used in many different fields, such as medical image, identity identification, computer vision, face detection, and skin detection. After taking a picture, it used to do skin detection. In this paper, we propose a method which detecting facial wrinkle by Laws' Mask filter and Gabor wavelets transformation. Afterward, connected component labeling algorithm can detect connected regions in wrinkles' binary digital images. Then, this system could classify whether connected regions are wrinkle or not by counting each label's length. However, there are also a few error detection when the wrinkle is too slim, but the accurate rate also could reach 80%. We will improve the accurate rate of this system continually.