连通区的页面分割与分类方法

页面分割与分类是文档处理的关键步骤，但目前多数方法对页面的块和倾斜进行了限制，文中提出一种新的基于连通区的页面分割与分类方法，首行采用快速算法抽取页面内的连通区，然后利用改进的PLSA算法分割页面，并根据连通区的分布情况以及块的特征对块进行分类，该方法页面分割与分类紧密结合，充分考虑到块的局部特征，保证块分类的正确性，大大提高了算法效率。

Approach to Page Segmentation and Classification

Page segmentation and classification is the key procedure in document processing. But most current algorithms can only process pages with limited shape of blocks and no skew angle. In this paper, a new approach to page segmentation and classification based on connected components is introduced. First, the connected components in page image are extracted quickly. Then a RLSA algorithm based on the connected components is adopted for page segmentation. Furthermore, distribution of the connected components in one block and global features of the block are analyzed to classify different blocks. This approach not only combines the page segmentation and classification together, which improves the running efficiency, but also takes into consideration the local features of block, which assures the correctness of block classification.