The main purpose of this thesis is to study algorithms for page segmentation and classification of document images.
本文主要研究文本页面图像的分割与分类算法。
The use of an enterprise taxonomy (a hierarchically organized set of relevant categories, in other words) and the classification of document content, is a powerful approach to address this need.
使用企业分类法(换句话说，一套以层次化方式组织的相关目录)和文档内容分类是一种满足这种需求的强大方法。
This name must be used again in the Classification Workbench, where you have to choose a field that contains the document text of your training data.
在Classification Workbench中选择包含训练数据文档文本的字段的地方，必须同样使用这个名称。
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