A mixed approach to book splitting

In this paper, we present a hybrid approach to splitting a book document into individual chapters. We use multiple sources of information to obtain a reliable assessment of the chapter title pages. These sources are produced by four methods: blank space detection, font analysis, header and footer association, and table of content (TOC) analysis. Finally, a combination component is used to score potential chapter title pages and select the best candidates. This approach takes full advantage of various kinds of information such as page header and footer, layout, and keywords. It works well even without the information of TOC which is crucial for most previous similar researches. Experiments show that this approach is robust and reliable.

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