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Automated Detection and Segmentation of Table of Contents Page and Index Pages from Document Images
Mantova, Italy September 17-September 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2003.123405212th International Conference on Imag ...
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S. Mandal, B. E. College
S. P. Chowdhury, B. E. College
A. K. Das, B. E. College
Bhabatosh Chanda, Indian Statistical Unit
The requirement of identifying and segmenting the table of contents (TOC) and index pages in the development of digital library is obvious. Digital document library is created to provide a non-labour intensive, cheap and flexible way of storing, representing and managing paper document in electronic form to facilitate indexing, viewing, printing and extracting the intended portions. Information from the TOC and index pages be extracted to use in document database for effective retrieval of the required pieces of information. In this paper we present fully auotmatic identification and segmentation of TOC and index pages from scanned document.
Index Terms:
Document image segmentation, Table of contents detection, Index page detection, Digital document library.
Citation:
S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "Automated Detection and Segmentation of Table of Contents Page and Index Pages from Document Images," iciap, pp.213, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003
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