Face recognition method, device and system and readable storage medium
A face recognition and face image technology, applied in the field of face recognition, can solve problems such as low recognition accuracy and training recognition speed that cannot meet real-time requirements
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no. 1 example
[0024] see figure 1 , which is a schematic flowchart of a face recognition method provided in the first embodiment of the present invention, the face recognition method includes, for example:
[0025] Step S10, using a three-frame difference method to obtain a face image from a plurality of consecutive frame images;
[0026] Step S20, making a difference between the face image and the average face image, and then using the level set segmentation method to obtain the contour line of the occluded area;
[0027] Step S30, locating the position of the contour line in the face image to obtain an unoccluded area and a corresponding unoccluded type;
[0028] Step S40, performing feature extraction on the image information of the unoccluded area to obtain local ternary pattern features and directional gradient histogram features;
[0029] Step S50, fusing the local ternary pattern feature and the directional gradient histogram feature to obtain a fusion feature; and
[0030] Step S...
no. 2 example
[0056] see Figure 5 , which is a face recognition device provided in the second embodiment of the present invention, the face recognition device 100 includes, for example: a face image acquisition module 10, which is used to obtain a plurality of consecutive frame images using the three-frame difference method Obtain the face image; Contour generation module 20 is used to make difference between the face image and the average face image, and then adopts the level set segmentation method to obtain the contour line of the occluded area; Positioning module 30 is used to locate the contour The position of the line in the face image to obtain the unoccluded area and the corresponding unoccluded type; the feature extraction module 40 is used to perform feature extraction on the image information of the unoccluded area to obtain the local ternary pattern Features and directional gradient histogram features; feature fusion module 50, used to fuse the local ternary pattern features an...
no. 3 example
[0066] see Figure 6 , which is a schematic structural diagram of a face recognition system provided by the third embodiment of the present invention. The face recognition system 400 includes, for example, a processor 430 and a memory 410 electrically connected to the processor 430. The memory 410 stores computer Program 411, the processor 430 loads the computer program 411 to implement the face recognition method as described in the first embodiment.
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