Method and system for face identification
A technology of face recognition and face image, which is applied in the field of face recognition, can solve the problems of high feature dimension and single fusion feature, and achieve the effect of overcoming accessories, small amount of data, and improving recognition accuracy
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Embodiment 1
[0047] Such as figure 1 and 2 As shown, the present invention provides a face recognition method, including step S1 to step S11.
[0048] Step S1, collect multi-band training images of visible light, near-infrared, mid-infrared, far-infrared and thermal infrared; specifically, this embodiment proposes the concept of an image group, which means that the face is in the same state, and the obtained visible light , near-infrared, mid-infrared, far-infrared and thermal-infrared face images, such five images are called a set of image groups.
[0049] Step S2, normalize the acquired training images of each band, and pre-process the mask and illumination; specifically, normalize the face images through measures such as human eye positioning, and then cover the mask film to remove the background. At the same time, in order to remove the influence of uneven lighting, lighting preprocessing methods such as Gamma correction or retina filter are added.
[0050] Step S3, extracting the ...
Embodiment 2
[0092] Such as Figure 4 As shown, the present invention also provides another face recognition system, including a first collection module 1, a first processing module 2, a first feature module 3, a first new feature module 4, a second feature set module 5, a second Collection module 6 , second processing module 7 , second feature module 8 , second new feature module 9 , first result module 10 and second result module 11 .
[0093] The first collection module 1 is used to collect multi-band training images of visible light, near-infrared, mid-infrared, far-infrared and thermal infrared;
[0094] The first processing module 2 is configured to normalize the acquired training images of each band, and perform preprocessing of mask and illumination;
[0095] The first feature module 3 is used to extract the first human face image feature of this band from the training image of each band through normalization and preprocessing;
[0096] Preferably, the first face image feature an...
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