Face identification method and apparatus based on sequencing neural network model
A neural network model and face recognition technology, which is applied in the field of face recognition method and device based on a sequenced neural network model, can solve the problems that face recognition technology cannot meet practical requirements, changes in lighting changes, changes in user posture and expression, and changes in age and body shape and other issues to achieve the effect of improving generalization ability, saving computing time, and improving accuracy
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[0061] In order to describe the specific implementation of the present invention and verify the effectiveness of the present invention, we apply the method proposed by the present invention to a public face database——LFW face database. The database includes 5749 individuals with a total of 13233 images.
[0062] In our example, we adopt the standard testing protocol on the LFW dataset to demonstrate the effectiveness of the present invention. The standard test protocol for the LFW dataset consists of 6000 pairs of face images, including 3000 pairs of face images of the same person and 3000 pairs of face images of different people.
[0063] Specific steps are as follows:
[0064] Training process:
[0065] Step S3-1, collecting a large number of face images as training data, and designing a neural network model. In particular, the neural network model we use contains 4 convolutional layers and 4 pooling layers. After each pooling layer, the output is divided into two groups,...
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