Title: Classification of regions extracted from scene images by morphological filters in text or non-text using decision tree
Authors: Luz Alves, Wonder Alexandre
Hashimoto, Ronaldo Fumio
Citation: WSCG 2010: Full Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 165-172.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_FULL-proceedings.pdf
ISBN: 978-80-86943-88-6
Keywords: klasifikace textových oblastí;lokalizace textu;extrakce textových informací;morfologický filtr
Keywords in different language: text region classification;text localization;text information extraction;morphological filter
Abstract: We present in this work a new method to classify regions extracted from scene images by morphological filters in text or nontext region using a decision tree. Our technique can be divided into three parts. Firstly, we extract a set of regions by a robust scheme based on morphological filters. Then, after a refinement, a set of text attributes is obtained for each region. In the last step, a decision tree is built in order to classify them as text or non-text regions. Experiments performed using images from the ICDAR public dataset show that this method is a good alternative for practical problems involving text location in scene images.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10877

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