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This paper describes a novel method for extraction of colored text from natural scene images. The core segment of the method involves a two-fold smoothing of the color pixels performed along the row and columns sequentially. The 0-1 and 1-0 transitions in the edge image are analyzed to obtain the runlengths of 0s and 1s in each row and column of the image. The smoothed image is obtained by replacing each edge segment by the median of the color values of pixels in that particular segment. A color-based connected component labeling is then performed on the smoothed image and the stroke width and color information of the resulting components are used to identify the foreground text components. The method is tested on word images from the ICDAR 2003 robust reading competition dataset and is found to enhance the recognition accuracy significantly.

Added on August 12, 2014


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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : T Kasar, A G Ramakrishnan, Amey Dharwadker, Abhishek Sharma
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