Face Mole Detection, Classification and Application

Abstract

Do you have moles on face? Are the moles good or bad? We could treat this problem from medical, cosmetic, or even fortune applications viewpoint. Here, image processing techniques are investigated to detect and verify the goodness of face mole from fortune telling point of view. The process includes Voronoi diagram setup for sample moles, face mole detection, and mole recognition. In the first part, Voronoi diagram is used to partition the given sample mole-face into regions. In the second part, face detection and Laplacian of Gaussian is used to get the prominent features on face. Aspect ratio and area are two features for mole verification. At last, an algorithm is developed to warp the detected user moles to the sample mole-face by Thin-plate Spline Analysis for mole recognition. By using Voronoi diagram, the mole recognition spends only O(logn), where n is the number of given sample moles. The goodness of the recognized mole could be retrieved according to the stored information for fortune telling. The system was tested with 20 people and the mole recognition rate reached 91.25% which demonstrated the feasibility of the proposed system.