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Offline reading method and device based on three-dimensional code and image recognition

An image recognition and three-dimensional code technology, applied in the field of image recognition and three-dimensional code technology, can solve the problems of original data leakage prevention, achieve the effect of saving space, improving verification efficiency and accuracy, and ensuring safety

Active Publication Date: 2021-02-12
CN3WM XIAMEN NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, the present invention proposes an offline reading method and device based on three-dimensional code and image recognition, which solves the problem of three-dimensional code identification and verification in an offline environment, and solves the problem of original data leak prevention

Method used

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  • Offline reading method and device based on three-dimensional code and image recognition
  • Offline reading method and device based on three-dimensional code and image recognition

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Experimental program
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Effect test

Embodiment 1

[0051] see figure 1 , an off-line reading method based on three-dimensional code and image recognition, comprising the following steps:

[0052] Step 101a: Create an original image collection S1, collect a plurality of original images containing objects to be identified and put them into the original image collection S1; the format of the picture can be the Joint Photographic Experts Group (JPEG) format, portable network Graphics (Portable Network Graphics, PNG) format, or bitmap (Bitmap, BMP) format.

[0053] Step 102a: Perform image preprocessing, perform preprocessing on each original image in the original image collection, adjust the original images into image materials with the same size and format (such as a JPEG format image of m×n size) and Put it into the material collection S2.

[0054] Step 103a: Perform image reconstruction, process each image material in the material set, obtain the pixel matrix of the image material, use the singular value decomposition method ...

Embodiment 2

[0061] Further, the objects to be identified include but are not limited to: human faces, objects and characters. In this embodiment, the original images collected by the original image set S1 are all portrait pictures; in step 101a, the original images are After the original image set S1 is put into the verification step, the original image is converted into the pixel value of each pixel point and taken out and stored in a pixel array, and the array is passed as a parameter to the detectMultiScale function of OpenCV for target detection. This function identifies the key coordinate points with clear semantics on the face, such as the tip of the nose, the corners of the mouth, and the corners of the eyes. If these key coordinate points are not recognized, the function considers that there is no human face in the picture; if it is recognized, it is considered that there is a human face in the picture; the picture that does not detect a human face is regarded as an unqualified pic...

Embodiment 3

[0090] An off-line reading device based on three-dimensional code and image recognition, including a memory and a processor, the memory stores instructions, and the instructions are suitable for being loaded and executed by the processor as described in Embodiment 1 and Embodiment 2. An off-line reading method based on three-dimensional code and image recognition.

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Abstract

The invention relates to an offline reading method and device based on a three-dimensional code and image recognition. The method comprises the following steps: establishing an original image set; trimming the original image into a standardized image material and putting the standardized image material into a material set; extracting a feature matrix through a pixel matrix of the image material, and putting the feature matrix into a vector set; training an image reconstruction model capable of restoring the corresponding image material through the feature matrix through a convolutional neuralnetwork; identifying each feature matrix in the vector set through the character strings to obtain a relationship set of character string identifiers and the feature matrixes; encoding the character string identifier and the corresponding image material to obtain a three-dimensional code; training by using a deep learning network model to obtain an image recognition model; and calling the vector set, the relationship set, the image reconstruction model and the image identification model, importing the vector set, the relationship set, the image reconstruction model and the image identificationmodel into a three-dimensional code identification module, and identifying, reading and verifying the picture containing the three-dimensional code.

Description

technical field [0001] The invention relates to an off-line reading method and device based on three-dimensional code and image recognition, and belongs to the technical fields of three-dimensional code technology and image recognition. Background technique [0002] At present, many mobile applications have the function of scanning QR Code (Quick Response Code, QR Code). The document number printed on the document. The authenticity of these codes cannot be identified by using conventional code scanning software, or the identification can only be carried out after being connected to the Internet. At the same time, the quick response code can only contain limited information, and cannot store pictures, text and other information, and the data that can be obtained offline is very limited. If images or texts are directly stored in the code scanning software, there will be a risk of leakage. Image recognition technology refers to the technology of using computers to process, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K7/14G06K9/00G06K19/06G06N3/04G06N3/08
CPCG06K7/1443G06K19/06037G06K19/06131G06N3/08G06V40/165G06V40/171G06N3/045
Inventor 陈绳旭王秋婉马吉良张梦达
Owner CN3WM XIAMEN NETWORK TECH CO LTD
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