Libraries contain enormous amounts of handwritten historical documents which cannot be made available on-line because they do not have a searchable index. The wordspotting idea has previously been proposed as a solution to creating indexes for such documents and collections by matching word images. In this paper we present an algorithm which compares whole word-images based on their appearance. This algorithm recovers correspondences of points of interest in two images, and then uses these correspondences to construct a similarity measure. This similarity measure can then be used to rank word-images in order of their closeness to a querying image. We achieved an average precision of 62.57% on a set of 2372 images of reasonable quality and an average precision of 15.49% on a set of 3262 images from documents of poor quality that are even hard to read for humans.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Using Corner Feature Correspondences to Rank Word Images by Similarity


    Beteiligte:
    Rothfeder, Jamie L. (Autor:in) / Feng, Shaolei (Autor:in) / Rath, Toni M. (Autor:in)


    Erscheinungsdatum :

    2003-06-01


    Format / Umfang :

    244973 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Visual Servoing without Feature Correspondences Using Eigenspace Method

    Noguchi, T. / Deguchi, K. | British Library Online Contents | 1996



    Unsupervised Feature Learning for Dense Correspondences Across Scenes

    Zhang, C. / Shen, C. / Shen, T. | British Library Online Contents | 2016



    About the Correspondences of Points Between N Images

    Faugeras, O. / Mourrain, B. / IEEE et al. | British Library Conference Proceedings | 1995