Optimization of overprint error detection based on the FCM algorithm

Because the printing accuracy of printed matter needs to be higher and higher, it is necessary to strengthen the accuracy of the overprint error detection. However, in the current machine vision detection methods, when separating the four primary colors of CMYK, there is still the phenomenon of four colors overlapping, which decrease the detection accuracy. In this paper, based on the existing machine vision detection methods, The FCM algorithm is used to cluster image colors, so as to improve the accuracy of color segmentation and decrease the impact of four-color overlap. Through this method, the identifier image can be clustered to improve the detection accuracy. The results indicate that this method can reduce the interaction between the four colors to a certain extent and provide convenience for successive color segmentation.