Quantitative Analysis of Black Laser Printing Based on Decision Tree

Objective To explore an assay to classify short-term printing samples produced with different laser printers using Image Xaminer and quantitative analysis. Methods 360 pages of short-term printing sample from 18 different laser printers were collected and 116 features, such as area, perimeter, gray scale, were scanned and measured by the Image Xaminer. Samples of different laser printers were input at the resolution of 800 dpi and full-page measured by choosing the same-size target region. The corresponding mathematical model was established based on decision tree algorithm C4.5, and the measured values of 116 parameters were analyzed to find out the appropriate ones which had a strong correlation to the classification of different laser printers. Results Short-term printing samples of different laser printers could be correctly classified according to the comprehensive analysis of the following 11 parameters: median gray level threshold of 128, mode gray threshold of 80, Stat. Area Stedv threshold of 117 and the minimum area of 1 pixel, area coverage ratio threshold of 80, Stat. Area Stedv threshold of 160 and the minimum area of 1 pixel, median gray level threshold of 80, Stat. roundness Stdev threshold of 80 and the minimum area of 1 pixel, distribution symmetry threshold of 128, area coverage ratio threshold of 117, median gray level threshold of 160, Stat. roundness Average threshold of 117 and the minimum area of 1 pixel. These 11 parameters have quite strong correlation to the classification of different laser printers. Conclusions It is feasible to make a distinction between short-term printing samples produced with different laser printers by using the quantitative analysis method of the Image Xaminer.