Zone classification using texture features
نویسندگان
چکیده
We consider the problem of zone class$cation in document image processing. Document blocks are labelled as text or non-text using texture features derived from a feature based interaction map (FBIM), a recently introduced general tool for texture analysis [3, 41. The zone classijication procedure proposed is tested on the comprehensive document image database UW-I created at the University of Washington in Seattle. Different class$cation procedures are considered. The performance ranges from 96 % to 98 % using 6 FBIM texture features only.
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