The Human Face Detection Methods Based On The Characteristics

The human face detection problems initially as a system of automatic recognition of the link status has been raised in recent years because of its e-commerce, security access control, video monitoring, biological identification, video databases based on the detection of a new generation of computer interface and the fields of value, began as an independent subject by researchers universal attention.From the face of this testing methodology with the classification, based on the first person from the face colour characteristics positioning and extraction, face with using marginal, colour separation and the region to address, face template matching Bayes classification issues into perspective, and then adopted based on the contours of human face of regional positioning, face identity search and verification, using dynamic thresholds face of the extraction method will be further streamlining programme.Of course, the human face is a standard feature of-the dynamics of the object containing face. One problem is detection of the dynamics of such a target to be considered face some changes over time (such as facial hair, glasses, wrinkle, colour, cut, etc.), while also taking into account the position changes.