Application of the new-type high-resolution tri-linear CCD system for authentication of document, calligraphy and painting

In order to further improve the efficiency of document inspection and authentication, solve the main problem of subjectivity in traditional "visual appraisal" methods for calligraphy and painting authentication, this study designs and develops a new type high-resolution tri-linear charge-coupled device (CCD) system that can be applied to document and calligraphy authentication. Design comparative experiments and use this CCD system to collect data on handwritten handwriting and copied handwriting, fingerprinting and copied fingerprints, stamped seal seals and copied seals, original calligraphy and painting works and high-precision micro spray replicas of calligraphy and painting. By comparing the image data of the original and copied works, it was found that the characteristics of handwriting and pen marks, inherent printing characteristics of fingerprints and seal images, characteristics of blending, layering, and pixelated color blocks in calligraphy and painting can all be clearly recognized and effectively displayed. As a result, the application of this system can effectively distinguish and identify handwritten handwriting from copied handwriting, pressed fingerprints from copied fingerprints, stamped seal seals from copied seal seals, original calligraphy and painting works from high-precision micro spray replicas. By analyzing the formation methods, the process of document and calligraphy production can be traced, providing scientific basis for case investigation and judicial trial, and also providing new design ideas for the integrated innovation of document appraisal equipment. At the same time, the system has advantages such as one click operation, fast running speed, and no need for sample pre-treatment, which also have good application prospects in the research of cultural relics and artworks. The research results can also be used for the construction of other datasets related to image recognition and comparison, and have great potential in the acquisition of raw data for digital archive management, big data, and cloud computing.