Two-dimension code printing quality online assessment method

Abstract

The invention discloses a two-dimension code printing quality online assessment method. The method comprises the steps of: respectively extracting quality characteristics of qualified and unqualified two-dimension code images off line, and by means of synthetic training, obtaining a Bayes classifier parameter for determining whether the quality is qualified; loading the Bayes classifier parameter obtained by training into an online classifier; extracting quality characteristics of a two-dimension code image in an observed sample image, inputting the online classifier, and obtaining a qualified probability value; and if the qualified probability value of the observed sample is lower than a set threshold, determining that the observed sample is unqualified. By adopting the method provided by the invention, the decrease of the output quality of a two-dimension code printing machine or whether the storage loss of two-dimension codes reaches an assigned degree can be automatically discovered in time, and a worker can be prompted to maintain and replace the printing machine or to reprint bar codes, so that the printing quality of the two-dimension codes and the subsequent scanning efficiency are ensured, and the waste of time and financial resources caused by the output quality problem of the two-dimension codes is avoided.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an online evaluation method for two-dimensional code printing quality. Background technique [0002] As a key technology for information interaction between objects and computers in Internet of Things applications, two-dimensional codes have the advantages of low cost, convenient use, high reliability, large information capacity, and high error correction capabilities, and are widely used in the current society. Among them, the public health industry represented by large-scale resident health checkups is an important application field of QR codes. Large-scale resident physical examination is an important measure for the monitoring and early warning of the epidemic situation of infectious diseases. Monitoring people's physical fitness through large-scale physical examination is the continuous and systematic collection, analysis and interpretation of data to suppo...

AI Technical Summary

Problems solved by technology

More importantly, the environment in the actual use process is complex and changeable, and the 2D barcode is often worn and polluted

And thermal printing uses chemically-treated heat-sensitive media on which images will fade over time

If the label is overexposed to heat, light, or other catalysts, the material will darken, making barcodes difficult to read

The readability of thermal labels varies greatly depending on the conditions of use, and it is difficult to estimate their service life simply by time

The barcode scanner will automatically turn on the enhanced function mode when processing low-quality QR codes, which will reduce the scanning efficiency; and in the case of seriously low-quality QR codes, the scanner is difficult to read, and repeated attempts will directly affect the scanning efficiency

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