Normalized text font resemblance method aimed at document image page clustering

This paper describes an approach towards obtaining the normalized measure of text resemblance in scanned images. The technique, aimed at automatic content conversion, is relying on the detection of standard character features and uses a sequence of procedures and algorithms applied sequentially on the input document. The approach makes use solely of the geometrical characteristics of characters, ignoring information regarding context or the character-recognition.

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