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

Authors:
Minako Sawaki;Norihiro Hagita
Affiliations:
NTT Basic Research Labs, Kanagawa, Japan;NTT Communication Science Labs, Kyoto, Japan
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1998

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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.