The requirement of identifying and segmenting the table of contents (TOC) and index pages in the development of a digital library is obvious. A digital document library is created to provide a non-labour intensive, cheap and flexible way of storing, representing and managing paper documents in electronic form to facilitate indexing, viewing, printing and extracting the intended portions. Information from the TOC and index pages is extracted to use in a document database for effective retrieval of the required pieces of information. We present fully automatic identification and segmentation of TOC and index pages from a scanned document.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automated detection and segmentation of table of contents page and index pages from document images


    Contributors:
    Mandal, S. (author) / Chowdhury, S.P. (author) / Das, A.K. (author) / Chanda, B. (author)


    Publication date :

    2003-01-01


    Size :

    319052 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

    Mandal, S. / Chowdhury, S. / Das, A. et al. | British Library Conference Proceedings | 2003


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

    Mandal, S. / Chowdhury, S. / Das, A. et al. | British Library Conference Proceedings | 2003


    Automated detection and segmentation of table of contents page from document images

    Mandal, S. / Chowdhury, S.P. / Das, A.K. et al. | IEEE | 2003


    Automated Segmentation of Math-Zones from Document Images

    Chowdhury, S. / Mandal, S. / Das, A. et al. | British Library Conference Proceedings | 2003


    Automated segmentation of math-zones from document images

    Chowdhury, S.P. / Mandal, S. / Das, A.K. et al. | IEEE | 2003