There is a large number of scanned historical documents that need to be indexed for archival and retrieval purposes. A visual word spotting scheme that would serve these purposes is a challenging task even when the transcription of the document image is available. We propose a framework for mapping each word in the transcript to the associated word image in the document. Coarse word mapping based on document constraints is used for lexicon reduction. Then, word mappings are refined using word recognition results by a dynamic programming algorithm that finds the best match while satisfying the constraints.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Transcript mapping for historic handwritten document images


    Contributors:
    Tomai, C.I. (author) / Bin Zhang, (author) / Govindaraju, V. (author)


    Publication date :

    2002-01-01


    Size :

    406826 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Transcript Mapping for Historic Handwritten Document Images

    Tomai, C. I. / Zhang, B. / Govindaraju, V. | British Library Conference Proceedings | 2002


    Handwritten Document Retrieval

    Russell, G. / Perrone, M. P. / Chee, Y. et al. | British Library Conference Proceedings | 2002


    Handwritten document retrieval

    Russell, G. / Perrone, M.P. / Yi-min Chee, et al. | IEEE | 2002


    Göttinger Monograph N: A Historic Document is Back

    van der Wall, Berend G. | British Library Conference Proceedings | 2016