Character integrity detection method and device for printed label

Abstract

The invention provides a character integrity detection method and device for a printed label, and the method comprises the steps: collecting a sample image which comprises a sample printed label image with complete characters; generating N sample training images according to the sample images; generating a bright threshold image and a dark threshold image according to the N sample training images; collecting a to-be-detected image containing the to-be-detected printing label image; and according to the bright threshold image and the dark threshold image, detecting whether a character defect area exists in the to-be-detected printing label image. Automatic detection is achieved, manual detection is not needed, the labor cost is reduced, and the detection accuracy is improved. The method does not need to collect a large number of sample images, reduces the workload of collecting the sample images, and reduces the influence on the precision of the finally trained sample model due to the difference between a plurality of sample images. The detection accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of printed labels, in particular to a character integrity detection method and device for printed labels. Background technique [0002] With the development of society, labels are widely used in various industrial products to mark key information such as the brand, model, parameters and precautions of the product. Especially in medical, food, military, home appliances and other industries, labels have the function of marking key information of products, thus becoming an effective carrier for enterprises to track products, quality monitoring and production management, and labels are also an effective tool for individuals to check product quality. [0003] The character content on the power adapter label is mainly printed by a printing machine, so it can also be called a printed label. In the modern fast printing environment, the label will be affected by many uncertain factors such as production process, env...

AI Technical Summary

Problems solved by technology

The existing technology usually uses manual detection of printed labels one by one, but it requires a lot of manpower, and at the same time, due to distraction, hallucinations, etc. of the detection personnel, it is prone to missed detection, false detection, etc.

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