When one scans a document page from a thick bound volume, the curvature of the page to be scanned results in two kinds of distortion in the scanned document images: i) shade along the 'spine' of the book; and ii) warping in the shade area. In this paper, we propose an efficient restoration method based on the discovery of the 3D shape of a book surface from the shading information in a scanned document image. We first build practical models namely a 3D geometric model and a 3D optical model for the practical scanning conditions to reconstruct the 3D shape of book surface. We next restore the scanned document image using this shape based on de-shading and de-warping models. Finally, we evaluate the restoration results by comparing the OCR (optical character recognition) performance on the original and restored document images. The experiments show that the geometric and photometric distortions are mostly removed and the OCR results are improved markedly.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    3D geometric and optical modeling of warped document images from scanners


    Beteiligte:
    Li Zhang, (Autor:in) / Zheng Zhang, (Autor:in) / Chew Lim Tan, (Autor:in) / Tao Xia, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    571203 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Geometric theory of horizon scanners

    FANG, B. T. | AIAA | 1975


    Geometric theory of horizon scanners

    Fang, B. T. | NTRS | 1975




    Document Restoration Using 3D Shape: A General Deskewing Algorithm for Arbitrarily Warped Documents

    Brown, M. / Seales, W. / IEEE | British Library Conference Proceedings | 2001