Image recognition method based on neural network model
A neural network model and image recognition technology, applied in the field of image recognition based on neural network models, can solve problems such as inaccurate image recognition
Active Publication Date: 2020-09-04
北京东方通网信科技有限公司
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In the image recognition in the prior art, a pre-trained single neural network model is used to recognize the image. The parameters involved in the single neural network model do not change, and there is a problem of inaccurate image recognition for some images. Therefore, the present invention proposes a An Image Recognition Method Based on Neural Network Model
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[0048] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0049] Refer below Figure 1 to Figure 2 An image recognition method based on a neural network model proposed by an embodiment of the present invention is described below.
[0050] figure 1 It is a flowchart of an image recognition method based on a multi-neural network model according to an embodiment of the present invention; as figure 1 As shown, the embodiment of the present invention proposes an image recognition method based on a neural network model, including steps S1-S5:
[0051] Step S1: Obtain the image to be recognized according to the image recognition instruction;
[0052] Step S2: Preprocessing the image to be recognized;
[0053] Step S3: identif...
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The invention discloses an image recognition method based on a neural network model, and the method comprises the steps: obtaining a to-be-recognized image according to an image recognition instruction; preprocessing the image to be recognized; recognizing and determining a first parameter of the preprocessed to-be-recognized image from a lookup table data set constructed based on the neural network model; marking and recognizing the to-be-recognized image according to a preset label to obtain a second parameter of the to-be-recognized image; and comparing the first parameter of the to-be-recognized image with the second parameter of the to-be-recognized image to obtain a final parameter of the to-be-recognized image, thereby realizing image identification of the to-be-recognized image. Theneural network model and thepreset label are used for recognizing theimage, and the accuracy of image recognition is improved through two times of recognition and one time of analysis and comparison.
Description
technical field [0001] The invention relates to the technical field of image recognition, in particular to an image recognition method based on a neural network model. Background technique [0002] Image recognition refers to the technology of using computers to process and analyze images to identify targets and objects in various patterns, using neural network models and deep learning for recognition. In the image recognition in the prior art, a pre-trained single neural network model is used to recognize the image. The parameters involved in the single neural network model do not change, and there is a problem of inaccurate image recognition for some images. Therefore, the present invention proposes a An image recognition method based on a neural network model. Contents of the invention [0003] The present invention aims to solve one of the technical problems in the above-mentioned technologies at least to a certain extent. For this reason, the object of the present i...
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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06K9/00
CPCG06N3/084G06V40/172G06V20/588G06V20/582G06N3/045G06F18/241
Inventor 刘如君陈乔尚雪松
Owner 北京东方通网信科技有限公司