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SWT voting-based color reduction for text detection in natural scene images

Andrej Ikica and Peter Peer (2013) SWT voting-based color reduction for text detection in natural scene images. EURASIP journal on advances in signal processing, 2013 (1). pp. 1-13. ISSN 1687-6172

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    In this article, we propose a novel stroke width transform (SWT) voting-based color reduction method for detecting text in natural scene images. Unlike other text detection approaches that mostly rely on either text structure or color, the proposed method combines both by supervising text-oriented color reduction process with additional SWT information. SWT pixels mapped to color space vote in favor of the color they correspond to. Colors receiving high SWT vote most likely belong to text areas and are blocked from being mean-shifted away. Literature does not explicitly address SWT search direction issue; thus, we propose an adaptive sub-block method for determining correct SWT direction. Both SWT voting-based color reduction and SWT direction determination methods are evaluated on binary (text/non-text) images obtained from a challenging Computer Vision Lab optical character recognition database. SWT voting-based color reduction method outperforms the state-of-the-art text-oriented color reduction approach.

    Item Type: Article
    Keywords: Text detection; Natural scene images; Stroke width transform; SWT; Color reduction; SWT voting; SWT direction determination; SWT profiles; CVL OCR DB
    Related URLs:
    URLURL Type
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=9854292)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 2120
    Date Deposited: 26 Aug 2013 15:37
    Last Modified: 09 Dec 2013 09:24
    URI: http://eprints.fri.uni-lj.si/id/eprint/2120

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