A face recognition method and device based on deep learning

A technology of face recognition and deep learning, which is applied in the field of face recognition based on deep learning, can solve the problems of low accuracy rate and slow recognition speed of face recognition, and achieve the effect of favorable accuracy, fast recognition speed and simple training

Inactive Publication Date: 2019-05-28
北京英索科技发展有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present invention proposes a face recognition model training method and device based on deep learning and a face recognition method and device based on deep learning to solve the problems of low face recognition accuracy and slow recognition speed, and expand the The scope of use of the system

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  • A face recognition method and device based on deep learning
  • A face recognition method and device based on deep learning
  • A face recognition method and device based on deep learning

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Embodiment Construction

[0051] Embodiments of the present invention are described below with reference to the drawings. It can be understood that the specific implementation manners described here are only used to explain relevant content, rather than to limit the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention are shown in the drawings. At the same time, it should be noted that, in the case of no conflict, the implementation modes and features in the implementation modes of the present invention can be combined with each other.

[0052] Such as figure 1 Shown, a kind of face recognition model training method based on deep learning of the present invention comprises the following steps:

[0053] Step S11, the training of the feature extraction network, randomly select N training images in the training data set as the training batch, and input them to the convolutional neural network for convolution calculat...

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Abstract

The invention discloses a face recognition method based on deep learning. The face recognition method comprises a face recognition model training method and a face recognition model using method. Thebasic idea of model training is to reduce the difference value between similar samples and increase the difference value between non-similar samples so as to achieve accurate identification of the human face. Firstly, a feature extraction network is trained, classification model training is performed after model training is completed, and a softmax classification layer is added after the trained feature extraction network and used for training of the classification network. The features are classified in the softmax layer, taking the distance between the output and the label as a target by theloss function, and obtaining a face recognition model after the training is finished. The face recognition model using method comprises the steps that a face image is input into a face recognition model, a softmax classification result is obtained, and the category represented by the numerical value score highest dimension serial number is the recognition result.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a face recognition method based on deep learning. Background technique [0002] With the development of deep learning technology and the rapid improvement of computer computing power, the fields of artificial intelligence, computer vision and image processing are developing rapidly. Among them, face recognition, as a classic topic in the field of computer vision, has great research and application value, and has high social demand. The main problem solved by face recognition is that for an input image containing a human face, the algorithm can automatically extract the facial features on the image, and recognize the facial image according to the features, and give the recognition result. [0003] At present, face recognition related technologies have made great progress, and some successful applications have appeared. Traditional face recognition methods include methods based on ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 张红武舒剑军
Owner 北京英索科技发展有限公司
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