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Text-Line Extraction and Character Recognition of Document Headlines With Graphical Designs Using Complementary Similarity Measure
October 1998 (vol. 20 no. 10)
pp. 1103-1109

Abstract—A method for recognizing characters on graphical designs is proposed. A new projection feature that separates text-line regions from backgrounds, and adaptive thresholding in displacement matching are introduced. Experimental results for newspaper headlines with graphical designs show a recognition rate of 97.7 percent.

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Index Terms:
Character recognition, OCR, character segmentation, projection feature, displacement matching, adaptive thresholding.
Citation:
Minako Sawaki, Norihiro Hagita, "Text-Line Extraction and Character Recognition of Document Headlines With Graphical Designs Using Complementary Similarity Measure," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 10, pp. 1103-1109, Oct. 1998, doi:10.1109/34.722625
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