Text-Line Extraction and Character Recognition of Document Headlines With Graphical Designs Using Complementary Similarity Measure

نویسندگان

  • Minako Sawaki
  • Norihiro Hagita
چکیده

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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عنوان ژورنال:
  • IEEE Trans. Pattern Anal. Mach. Intell.

دوره 20  شماره 

صفحات  -

تاریخ انتشار 1998