关键词: 机器视觉, 条码识别, 条码编码, 在线识别, Halcon算子

Abstract: For the identification of one-dimensional and two-dimensional barcode in high-speed motion,an efficient and accurate barcode online recognition method based on machine vision technology was proposed.Firstly,the on-line barcode recognition technology and barcode coding theory was analyzed.Focusing on the high-speed image location and feature extraction under complex background,the relationship model between the system recognition coefficient and bar code motion was established.Then,instead of traditional image processing methods,a high-speed barcode recognition algorithm based on Halcon to recognize bar code in complex background was proposed.Finally,a high-speed recognition test platform to verify the accuracy of the proposed algorithm was built.Experimental results showed that under the set parameters,the code recognition coefficient of the experimental system reached the optimal when the barcode movement speed reached 3.75 mm/ms.In the 1 000 test datasets,the accuracy of the proposed algorithm was 97.10%,which had good robustness.

Key words: machine vision, barcode identification, barcode coding, on-line recognition, Halcon operator