Optimal skin detection for face localization using genetic algorithms

Face Recognition remains a challenging task over two decades in spite of many advances. Face Localization and Detection forms an important step in Face Recognition systems, face tracking in video surveillance, gesture analytics, etc. Many algorithms are in use for face detection each having their relative advantages and disadvantages. The challenges of the task emanate from with image specific variations in color components, light saturation, background clutter etc. In the current work, we focus on application of Genetic Algorithms for finding optimal limits for color components as well as de-saturation that leads to highly accurate skin color detection.