We present a new adaptive algorithm for automatic detection of text from a natural scene. The initial cues of text regions are first detected from the captured image/video. An adaptive color modeling and searching algorithm is then utilized near the initial text cues, to discriminate text/non-text regions. EM optimization algorithm is used for color modeling, under the constraint of text layout relations for a specific language. The proposed algorithm combines the advantages of several previous approaches for text detection, and utilizes a focus-of-attention approach for text finding. The whole algorithm is applied in a prototype system that can automatically detect and recognize sign input from a video camera, and translate the signs into English text or voice streams. We present evaluation results of our algorithm on this system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An adaptive algorithm for text detection from natural scenes


    Beteiligte:
    Jiang Gao, (Autor:in) / Jie Yang, (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    991906 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An Adaptive Algorithm for Text Detection from Natural Scenes

    Gao, J. / Yang, J. / IEEE | British Library Conference Proceedings | 2001


    Robust text detection in natural scenes using text geometry and visual appearance

    Yan, S. Y. / Xu, X. X. / Liu, Q. S. | British Library Online Contents | 2014


    Detecting and Reading Text in Natural Scenes

    Chen, X. / Yuille, A. / IEEE Computer Society | British Library Conference Proceedings | 2004


    Detecting and reading text in natural scenes

    Xiangrong Chen, / Yuille, A.L. | IEEE | 2004


    Fast perspective recovery of text in natural scenes

    Merino-Gracia, C. / Mirmehdi, M. / Sigut, J. et al. | British Library Online Contents | 2013