On texture in document images
نویسندگان
چکیده
This paper deals with the application of a multi-channel ltering-based texture segmentation method to a variety of document image processing problems: text-graphics separation, address-block location, and bar code localization. Both supervised and unsuper-vised methods have been used to identify regions of text or bar code in the input gray level document images. The performance of our segmentation and classiica-tion scheme is shown on a variety of document images which were scanned using a at bed scanner. These results demonstrate the generality and eeectiveness of our approach for the segmentation and classiication of document images.
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