How to realize face recognition

The realization method of face recognition is as follows:

(1) Reference template method: First, design one or several templates of standard faces, then calculate the matching degree between the samples collected by the test and the standard templates, and judge whether there is a face through the threshold.

(2) Face rule method: Because faces have certain structural distribution characteristics, the so-called face rule method is to extract these characteristics and generate corresponding rules to judge whether the test samples contain faces.

(3) Sample learning method: This method adopts the method of artificial neural network in pattern recognition, that is, the classifier is generated by learning the face image sample set and the non-face image sample set.

(4) Skin color model method: This method is based on the relatively concentrated distribution of face skin color in color space.

(5) Feature sub-face method: This method regards all face image sets as a face image subspace, and judges whether there is a face image according to the distance between the detected sample and its projection in the subspace.