In this study,150 typical reflectance curve segments were intercepted based on one-dimensional bar code detection technology to calculate the statistical capacity dimension(Dc)and Defects.Edge ratio(ER),number of edge segments(LS)and number of wave peaks and valleys(FG)were selected as indicators,and the complexity of reflectance curve segments was calculated by principal component analysis.According to statistics,the range of Dc was[1.00,1.42],and the average value was 1.18.The range of Defects was[0,0.0227],the average value was 0.0055,the correlation between Dc and complexity was significant,and the correlation coefficient was 0.51.The results showed that the evaluation of Defects for the printing quality of bar code symbols was mainly focused on the"largest"defects,and the description of minor defects is not fully,while the capacity Dc can supplement the description of detailed defects for the printing quality defects of bar code symbols.It can be used as an effective technical tool for the quality detection of one-dimensional barcode symbol printing products.
NETL
NSTL
万方数据
