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In order to improve the accuracy and speed of detection of face detection, the need for research on face detection algorithm based on digital image processing technology. The current method is used for face detection, facial feature extraction need more number, the detection speed is too slow, reduce the face detection efficiency. Therefore, proposed a face detection algorithm based on digital image processing technology. The method first gets face digital image by gray space opened the digital image, the digital image gray uniform distribution, so as to improve the image contrast, the image is more clear, and then through the Wiener Wiener filtering algorithm for image smoothing of digital image processing after Denoising, based on the use of Robert operator edge detection method for detection of digital image edge face of each pixel, the basic image for face detection in digital image, the input to the recognition and detection of computer digital image processing system. Simulation results show that the proposed algorithm has obvious advantages in the detection speed and accuracy etc..