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| An Algorithm for Text Extraction in Complex Color Image |
| LIU XinXing, WANG ZengFu |
| Department of Automation, University of Science and Technology of China, Hefei 230027 |
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Abstract In this paper, a text extraction method for the complex color image with image enhancement by Symmetric Neighborhood Filters(SNF) is proposed. Firstly, the original image is enhanced by SNF and the generate edge feature map on the enhanced image is obtained. The candidate text regions are then generated by merging the bounding blocks which are extracted by utilizing the edgebased connectedcomponent searching method and taking the edgedivided color information into consideration. Finally, the texture and stroke feature of the text are used to eliminate the false candidates. Experimental results show this method can extract the text including Chinese and English characters accurately. It is the key point to ensure the success of extraction method that the original image is enhanced by SNF because SNF not only smoothes the interior of the image but keeps the true edges of the image.
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Received: 03 June 2005
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2006, Vol. 19 
