Method for recognizing human face based on electrical power system network safety
A face recognition and network security technology, applied in the face recognition field of network security access, can solve problems such as deceiving trust, and achieve the effect of good grasp, adaptable face width, face detection and face recognition performance improvement
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[0021] Implement the present invention mainly to carry out through the following steps:
[0022] a) First use the face recognition algorithm based on local feature analysis and optimal matching, and use the neural network method to estimate some feature points that play an important role in face recognition, such as pupils, eye corners, eyebrows, eyebrow corners, mouth corners, and nose tip , and then use the local multi-scale analysis characteristics of Gabor wavelet to extract the multi-scale features of feature points;
[0023] b) In the positioning of feature points, six BP neural networks are used for feature point positioning, of which the first is used for pupil positioning, the second is for eye corner positioning, the third is for brow center positioning, and the third is for pupil positioning. Four are used for the positioning of the corners of the eyebrows, the fifth is used for the positioning of the tip of the nose, and the sixth is used for the positioning of the...
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