Automated Detection and Segmentation of Table of Contents Page from Document Images

With an aim to extract the structural information from the table of contents (TOC) to help develop digital document library the requirement of identifying/segmenting the TOC page is obvious. The objective to create digital document library is to provide a non-labour intensive, cheap and flexible way of storing, representing and managing the paper document in electronic form to facilitate indexing, viewing, printing and extracting the intended portions. Information from the TOC pages be extracted to use in document database for effective retrieval of the required pages. In this paper we present fully auotmatic identification and segmentation of table of contents (TOC) page from scanned document.

• Type: Conference
• Year: 2003
• Where: ICDAR
• Authors: S. Mandal, S. P. Chowdhury, Amit Kumar Das, Bhabatosh Chanda
• Keywords: Digital Document Library, Document Analysis, ICDAR 2003, Paper Document, Toc Pages