Complex background bar code segmentation and reading method based on machine vision

Abstract

The invention discloses a complex background bar code segmentation and reading method based on machine vision. Gradient direction consistency characteristics of a bar code image are utilized, a bar code segmentation method based on local gradient information fusion is utilized to precisely extract a bar code from the complex background; the acquired bar code area is corrected and sampled, an end code calibration method is utilized to acquire minimum unit width of the bar code, bar-space definition of the bar code is carried out through utilizing a dynamic threshold method, and bar code decoding, fault tolerance and examination are lastly carried out.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to a barcode segmentation and reading method based on machine vision under a complex background. Background technique [0002] The wide use of barcode technology provides a unified and simple language for trade transactions in different countries and regions. Using the identification information of barcodes, it is easy to convert them into recognizable electronic data, so as to achieve the purpose of fast reading and also The problem of manual input that is prone to errors is avoided. Although one-dimensional barcodes have different forms of expression and ways of storing data, their basic characteristics are the same, and they all rely on the combination of black and white stripes of different widths to represent information. In the current electronics manufacturing industry, barcodes are mainly read by hand-held traditional laser barcode scanners. Althoug...

AI Technical Summary

Problems solved by technology

[0005] In terms of barcode reading, at present, most of them are based on related decoding operations based on the well-segmented bar-space boundaries. However, according to different environments, different methods of dividing bar-space boundaries of barcodes have very different effects. , there are relatively few studies on

Especially in the case of uneven lighting conditions, there will be problems when using ordinary fixed thresholds to determine the bar-space boundaries of barcodes. Incorrect boundary segmentation will directly lead to changes in the ratio of each width, which will eventually lead to decoding failure.

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