Research on the Face Image Detection in Coal Mine Environment

Abstract

In recent years, face recognition system used in the coal mine workers’ identity becomes a hot spot. face detection is the key to face recognition, but at the special coal mine working environment, the monitoring image contrast is low, the light intensity of illumination is weak. The miners’ face image detection becomes difficult. In order to solve this problem, The light density strengthen based on homomorphic filtering, the image noise removal based on wavelet transform was put forward. Canny edge detection method combining the extraction of face and mine cap contour method was used to detect human face area. The experiment shows that this method is well implemented in face detection and is helpful for further identification.