An Algorithm for Colour-based Natural Scene Text Segmentation

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dc.contributor.author Zeng, Chao en_US
dc.contributor.author Jia, Wenjing en_US
dc.contributor.author He, Xiangjian en_US
dc.contributor.editor Masakazu Iwamura, Faisal Shafait en_US
dc.date.accessioned 2014-04-03T01:05:40Z
dc.date.available 2014-04-03T01:05:40Z
dc.date.issued 2012 en_US
dc.identifier 2011003932 en_US
dc.identifier.citation Jia, Wenjing, Zeng, Chao, and He, Xiangjian 2012, 'An Algorithm for Colour-based Natural Scene Text Segmentation', Lecture Notes in Computer Science, vol. 7139, pp. 58-68. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/22204
dc.description.abstract Before the step for text recognition, a text image needs to be segmented into foreground containing only the text area and background. In this paper, a method is proposed for segmenting colour natural scene texts which suffer from a wide range of degradations with complex background. A text image is firstly processed by two 3-means clustering operations with different distance measurements. Then, a modified connected component (CC)-based validation method is used to obtain the text area after clustering. Thirdly, a proposed objective segmentation evaluation method is utilised to choose the final segmentation result from the two segmented text images. The proposed method is compared with other existing methods based on the ICDAR2003 public database. Experimental results show the effectiveness of the proposed method. en_US
dc.language English en_US
dc.publisher Springer Heidelberg Dordrecht London NewYork en_US
dc.title An Algorithm for Colour-based Natural Scene Text Segmentation en_US
dc.parent Lecture Notes in Computer Science en_US
dc.journal.volume 7139 en_US
dc.journal.number en_US
dc.publocation Beijing, China, en_US
dc.identifier.startpage 58 en_US
dc.identifier.endpage 68 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 10828832 en_US
dc.personcode 044299 en_US
dc.personcode 990421 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition 7139 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords natural scene text segmentation, k-means clustering, connected component analysis (CCA), segmentation evaluation. en_US
dc.staffid 990421 en_US


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