In ML, there is a discipline called document layout analysis. It is indeed about studying how humans understand documents. It includes computer vision, natural language processing, and knowledge graphs. The end game is to deliver an ontology that can allow any document to be navigated, similar to how word processors can, but in an automated manner. In a word processor, we have to define certain words that are found in headers, as well as within different levels of the hierarchy – for example, heading level 1, heading level 2, body text, paragraph, and so on. What's not defined manually by humans is sentences, vocabulary, words, characters, pixels, and so on. However, when we handle the images taken by a camera or scanner, the lowest level of data is a pixel.
Steps for document layout analysis
In this section, we will learn how to perform document layout analysis. The steps are as follows:
- Forming...
