Table of Content detection using Machine Learning

TL;DR

This paper presents a machine learning-based method for detecting Table of Content pages in multipage documents, aiding in document navigation and information retrieval.

Contribution

It introduces a novel machine learning approach utilizing various features to accurately identify TOC pages in diverse document layouts.

Findings

Effective detection of TOC pages demonstrated

Improved navigation in multipage documents

Enhanced information retrieval efficiency

Abstract

Table of content (TOC) detection has drawn attention now a day because it plays an important role in digitization of multipage document. Generally book document is multipage document. So it becomes necessary to detect Table of Content page for easy navigation of multipage document and also to make information retrieval faster for desirable data from the multipage document. All the Table of content pages follow the different layout, different way of presenting the contents of the document like chapter, section, subsection etc. This paper introduces a new method to detect Table of content using machine learning technique with different features. With the main aim to detect Table of Content pages is to structure the document according to their contents.