提升打印质量：用新特征区分五类图像
Page Classification for Print Imaging Pipeline
- 基于SVM，新增四个特征提升图像分类精度
- 可准确识别文本、图片、混合、收据、高亮五类图像
- 适合需要精细化图像处理的打印设备研发
数字复印机和打印机广泛使用，用户最关心的是输出质量。为提升质量，我们此前提出基于SVM的分类方法，用于区分仅含文字、仅含图片或图文混合的图像，因为现代设备配备针对不同类型图像优化的处理流程。但在其他应用中，需区分超过三类图像。本文开发了一种更先进的SVM分类方法，引入四个新特征，实现对五类图像（文本、图片、混合、收据、高亮）的分类。
原文摘要 · Abstract (English)
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.
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