Digital copiers and printers are widely used nowadays. One of the most important things people care about is copying or printing quality. In order to improve it, we previously came up with an SVM-based classification method to classify images with only text, only pictures or a mixture of both based on the fact that modern copiers and printers are equipped with processing pipelines designed specifically for different kinds of images. However, in some other applications, we need to distinguish more than three classes. In this paper, we develop a more advanced SVM-based classification method using four more new features to classify 5 types of images which are text, picture, mixed, receipt and highlight.
View on arXiv@article{xu2025_2504.03020,
title={ Page Classification for Print Imaging Pipeline },
author={ Shaoyuan Xu and Cheng Lu and Mark Shaw and Peter Bauer and Jan P. Allebach },
journal={arXiv preprint arXiv:2504.03020},
year={ 2025 }
}