A barcode recognition algorithm based on sub-pixel corner detection

A corner detection, sub-pixel level technology, applied in the field of barcode detection, can solve the problem that the pixel level corner detection method cannot meet the needs of actual measurement, can not meet the needs of actual measurement, etc., to improve the processing speed and accuracy, Satisfied with the recognition effect, clearing the effective effect

Active Publication Date: 2019-01-11
GUANGDONG UNIV OF TECH
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Problems solved by technology

However, with the rapid development of science and technology, the requirements for the accuracy of barcodes in industrial inspection and other applications continue to increase, and the traditional pixel-level corner detection method can no longer meet the needs of actual measurement.
[0004] Disadvantages and deficiencies of the existing technology: the

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  • A barcode recognition algorithm based on sub-pixel corner detection
  • A barcode recognition algorithm based on sub-pixel corner detection
  • A barcode recognition algorithm based on sub-pixel corner detection

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[0034] The present invention will be further described in detail below in conjunction with the examples and drawings, but the implementation of the present invention is not limited thereto.

[0035] The main working principle of the present invention is: pre-processing the image collected by the camera, reading the original image, graying and median filtering, and the corner detection in judging and clearing the non-barcode area is based on sub-pixel corners The detection method is to locate the barcode position according to the remaining image outline, rotate and intercept the barcode area to save a series of operations to obtain an accurate barcode image.

[0036] Specifically, such as figure 1 As shown, a barcode recognition algorithm based on sub-pixel-level corner detection includes the following steps:

[0037] Step one, load the original barcode image;

[0038] Step 2: Pre-processing of the original barcode image;

[0039] Step 3: Determine and clear the non-barcode area image,...

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Abstract

The invention discloses a bar code recognition algorithm based on sub-pixel level corner detection, comprising the following steps: S1, loading an original bar code image; S2, pre-processing the original barcode image; S3, judging and clearing that non-bar code area image, the specific steps being as follows: a block scan mode is performed first, the number of blocks selected is 6, BlockSize= (minimum of image width and height)/6, the block size is calculated by dividing the minimum number of rows and columns of the original barcode image by the number of blocks, and the number of blocks per row and the number of blocks per column of the image are block_cols and block_rows, respectively. The invention effectively improves the image processing speed and accuracy, clears the non-bar code area more effectively, the image processing and analysis result is closer to the reality, and finally achieves a relatively satisfactory identification effect.

Description

technical field [0001] The invention relates to the technical field of barcode detection, in particular to a barcode recognition algorithm based on sub-pixel level corner detection. Background technique [0002] Bar code is a widely used automatic identification technology. It has the following advantages: fast input speed, high reliability, large amount of collected information, flexible and practical, etc. The main function of bar code is to carry data and realize efficient data collection , it plays a vital role in the data chain. In some industries, if the barcode accuracy is not high enough, it means that the data chain is destroyed and the supply chain will not be able to continue; in any link in the supply chain, If the reading and writing of information is inaccurate because the accuracy of the barcode is not high enough, it will also bring a lot of troubles to the enterprise, so it is necessary to improve the accuracy of the barcode as much as possible. [0003] Th...

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Application Information

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IPC IPC(8): G06K7/14G06T7/00
CPCG06K7/146G06T7/0002G06T2207/10004G06T2207/20164
Inventor 刘怡俊陈龙
Owner GUANGDONG UNIV OF TECH
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