SWT voting-based color reduction for text detection in natural scene images
Ikica, Andrej (Author), Peer, Peter (Author)

URLURL - Presentation file, Visit http://asp.eurasipjournals.com/content/2013/1/95 This link opens in a new window

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.

Keywords:detekcija teksta, slike naravnih scen, SWT, barvna redukcija, glasovanje SWT, detekcija smeri SWT, profili SWT, CVL OCR DB
Work type:Not categorized (r6)
Tipology:1.01 - Original Scientific Article
Organization:FRI - Faculty of computer and information science
Number of pages:str. 1-26
Numbering:Vol. 2013, no. 95
ISSN on article:1687-6180
DOI:10.1186/1687-6180-2013-95 Link is opened in a new window
COBISS.SI-ID:9854292 Link is opened in a new window
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Record is a part of a journal

Title:EURASIP journal on advances in signal processing
Shortened title:EURASIP J. Adv. Signal Process. (Online)
COBISS.SI-ID:16747030 This link opens in a new window

Secondary language

Keywords:text detection, natural scene images, stroke width transform, SWT, color reduction, SWT voting, SWT direction determination, SWT profiles, CVL OCR DB

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