A method for extracting names in degraded documents is presented in this article. The documents targeted are images of photocopied scientific journals from various scientific domains. Due to the degradation, there is poor OCR recognition, and pieces of other articles appear on the sides of the image. The proposed approach relies on the combination of a low-level textual analysis and an image-based analysis. The textual analysis extracts robust typographic features, while the image analysis selects image regions of interest through anchor components. We report results on the University of Washington benchmark database.


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    Title :

    Author name recognition in degraded journal images



    Conference:

    Document Recognition and Retrieval XIII ; 2006 ; San Jose,California,United States


    Published in:

    Publication date :

    2006-01-15





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Author Name

    IEEE | 1997




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