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- W1688978089 abstract "Noise is a common problem in most of the image understanding analysis. Border noise is one of the common document noises that are introduced when scanning and/or capturing thick books and old books. This noise is responsible for non-accurate results for document image analysis system as example OCR engines. In this paper we introducedan algorithm which can effectively remove the border noise from the document image by using X-Y cutand filtering technique based on morphological operations. We evaluate our technique on CBDAR 2007 document dewarping dataset and make comparison with other state-of-art methods. The experiment results show the high performance of the algorithm in removing the border noise (textual and non-textual noise) for a variety of documents with different levels of complexity and different structure. The used documents include diagrams, figures, formulas and different languages (English, Arabic, Chinese and Japanese document)." @default.
- W1688978089 created "2016-06-24" @default.
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- W1688978089 date "2015-04-29" @default.
- W1688978089 modified "2023-09-25" @default.
- W1688978089 title "Border Noise Removal from the Document Image Using X-Y Cut and Filtering Technique Based on Morphological Operation" @default.
- W1688978089 hasPublicationYear "2015" @default.
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