Abstract: To extract a pure eyebrow image from an original image rapidly and steadily,an eyebrow segmentation method based on watershed and K-means algorithm was presented,which was called W-K algorithm.First,a number of eyebrow pixels and non-eyebrow pixels by manually scratching several simple lines on an original eyebrow image were labeled;Second,the watershed algorithm was used to produce catchment basins,and them were clustered by K-means algorithm;Finally,a pure eyebrow image was extracted by eyebrow pixel filtering.Experiment results show that it can segment pure eyebrow images in high speed and good performance for preprocessing to improve eyebrow recognition accuracy.