Text-line extraction and character recognition of document headlines with graphical designs using complementary similarity measure
Minako Sawaki, Norihiro Hagita · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998
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.