Face image recognition method and device
A face image and recognition method technology, applied in the field of image recognition, can solve the problems of low amount of information, limited ability to improve recognition results, low recognition rate of face images, etc.
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Embodiment 1
[0028] An embodiment of the present invention provides a recognition method of a face image, such as figure 1 shown, including the following steps:
[0029] 101. Perform feature matching and classification on the first face image collected by near-infrared light and the face images in the preset near-infrared light registration set, and obtain the categories corresponding to the top M candidates with the highest matching scores in the first group and matching scores.
[0030] Specifically, the first human face image collected by near-infrared light is matched with the face images in the preset near-infrared light registration set, and the nearest neighbor classifier is used for classification. The matching scores in the categories corresponding to the top M candidates with the highest matching scores in the first group may be calculated by using cosine distance or Euclidean distance.
[0031] The calculation formula of the cosine distance is shown in the following formula (1...
Embodiment 2
[0072] An embodiment of the present invention provides a recognition device for a face image, such as image 3 As shown, it includes: a first processing unit 11 , a second processing unit 12 , a normalization unit 13 , a combination unit 14 and a determination unit 15 .
[0073] Among them, the first processing unit 11 is used to perform feature matching and classification on the first face image collected by near-infrared light and the face images in the preset near-infrared light registration set, and obtain the highest matching score of the first group The categories and matching scores corresponding to the top M candidates of ;
[0074] The second processing unit 12 is configured to perform feature matching and classification on the second human face image collected by visible light and the human face image in the preset visible light registration set, and obtain the top M candidate correspondences with the highest matching score in the second group. category and matching...
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