With the gradual miniaturization of microelectronic products, the requirements of enterprises for code encoding and decoding of their products continue to increase. This paper takes the micro anti-counterfeiting code as the research object and designs a set of micro-feature recognition equipment based on machine vision technology and an automatic threshold algorithm via different light intensity and interference. The equipment is composed of industrial cameras, auxiliary light sources, and three-axis fine-tuning modules. In order to collect typical micrographs with characteristic size in the range of 50-200μm. The algorithm uses the local gray features of the anti-counterfeiting code to perform a bilateral threshold to remove the false and inferior edges and eliminate the light intensity influence on the image threshold by fitting the relationship formula between the pixel value and the gamma transformation. Based on the images collected in actual production, the applicable recognition rate based on 5335 samples is as high as 99.5%, with a particular application value in microscopic anti-counterfeiting detection.
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