Vivo-face detection method based on HSV (hue, saturation, value) color space statistical characteristics

The invention discloses a vivo-face detection method based on HSV (hue, saturation, value) color space statistical characteristics. The method includes firstly, converting a face image captured by a camera from RGB (red green blue) color space to YCrCb color space; secondly, subjecting the face image to skin color segmentation, denoising, mathematical morphological treatment and connected region boundary calibration so as to obtain coordinates of a face matrix region; thirdly, acquiring a facial image to be detected from the face image according to the coordinates of the face matrix region; fourthly, segmenting the facial image to be detected into image blocks, and acquiring characteristic values of three color components of each image block in the facial image to be detected; and fifthly, using normalized characteristic values as a sample to be detected, and sending the sample to a trained support vector machine for detecting whether the face image is a vivo real facial image or not. The vivo-face detection method based on HSV color space statistical characteristics has the advantages that delay of a face recognition system is reduced, computational complexity is lowered, and detection accuracy is improved.