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Identity recognition method, device and apparatus based on image recognition

A technology of identity recognition and image recognition, which is applied in the field of image recognition, can solve the problems of poor neural network training effect, lower recognition accuracy rate, long training time, etc., to reduce the oscillation trend, accelerate the convergence speed, and improve the training speed Effect

Active Publication Date: 2021-12-24
NEUSOFT INST GUANGDONG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the case of small samples in the existing technology, the training effect of the neural network is not good, resulting in a decrease in recognition accuracy, and in the training process, the convergence speed is slow and the training time is long.

Method used

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  • Identity recognition method, device and apparatus based on image recognition
  • Identity recognition method, device and apparatus based on image recognition
  • Identity recognition method, device and apparatus based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] like figure 1 As shown, an identity recognition method based on image recognition, including:

[0069] S11. Construct a portrait library, which includes at least one face image corresponding to a person, and each face image corresponds to a piece of identity information.

[0070] Optionally, each person corresponds to several face images, and the several face images may include face images in directions such as front, side, and oblique sides. By recognizing the face image, the corresponding identity information can be obtained, so as to achieve the purpose of identity recognition.

[0071] S12. Take a number of face images from the portrait database as training face images, build a face recognition network, perform dimensionality reduction on the training face images, and use the reduced dimensionality training face images to train the face recognition network.

[0072] Optionally, taking a number of face images from the portrait library as training face images includ...

Embodiment 2

[0133] like figure 2 As shown, this embodiment provides an identity recognition device based on image recognition, which can be used to implement the identity recognition method disclosed in Embodiment 1, including a construction module 21 , a training module 22 , an acquisition module 23 and a recognition module 24 .

[0134] The construction module 21 is used to construct a portrait library, which includes at least one face image corresponding to a person, and each face image corresponds to a piece of identity information.

[0135]The training module 22 is used to take out some face images from the portrait storehouse as training face images, construct a face recognition network, carry out dimensionality reduction to training face images, and adopt the training face images after dimensionality reduction to face recognition network to train.

[0136] The obtaining module 23 is used for obtaining the face image to be recognized, and there is a face image of the person corres...

Embodiment 3

[0168] like image 3 As shown, an identity recognition device based on image recognition is provided, and the recognition device 30 may include a memory 31 and a processor 32 . Exemplarily, the memory 31 and the processor 32 are connected to each other through a bus 33 .

[0169] The memory 31 stores computer-executable instructions;

[0170] The processor 32 executes the computer-executable instructions stored in the memory, so that the processor executes the identity recognition method based on image recognition described in Embodiment 1.

[0171] image 3 The image recognition-based identity recognition device described in the embodiment can implement the technical solution described in the first embodiment, and its implementation principle and beneficial effect are similar, so details are not repeated here.

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Abstract

The invention discloses an identity recognition method, device and apparatus based on image recognition, and belongs to the field of image recognized.The method comprises the steps of creating a portrait database, wherein the portrait database comprises face images corresponding to at least one person, and each face image corresponds to one piece of identity information; extracting a plurality of face images from the portrait database as training face images, constructing a face recognition network, performing dimensionality reduction on the training face images, and training the face recognition network by adopting the training face images after dimensionality reduction; obtaining a to-be-recognized face image, wherein the face image of a person corresponding to the to-be-recognized face image exists in the portrait database; and recognizing the to-be-recognized face image through the face recognition network to obtain a face recognition result and corresponding identity information. The invention can be applied to small sample training, the training speed of the face recognition network is increased, the accuracy of face recognition is higher, face recognition is combined with identity information, and identity recognition is achieved.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to an identity recognition method, device and equipment based on image recognition. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then recognize the detected faces are usually also called portrait recognition and facial recognition. [0003] In the prior art, a large amount of face sample data is usually collected, a neural network is trained through the face sample data, and the trained neural network is used for face recognition, so as to achieve the purpose of face recognition. However, in the prior art, in the case of small samples, the training effect of the neural network is not good, resulting in ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/084G06F18/241
Inventor 杨斌张胜田
Owner NEUSOFT INST GUANGDONG