@article{scholars6327,
           title = {Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation},
          number = {3},
          volume = {15},
            note = {cited By 4},
         journal = {International Journal of Imaging and Robotics},
       publisher = {CESER Publications},
           pages = {88--105},
            year = {2015},
          author = {Wagdy, M. and Faye, I. and Rohaya, D.},
            issn = {2231525X},
        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 cut and 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). {\^A}{\copyright} 2015 by IJIR (CESER PUBLICATIONS).},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930795213&partnerID=40&md5=26e99531961fa64f1452fd7db7c05085}
}