relation: https://khub.utp.edu.my/scholars/6327/
title: Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation
creator: Wagdy, M.
creator: Faye, I.
creator: Rohaya, D.
description: 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). © 2015 by IJIR (CESER PUBLICATIONS).
publisher: CESER Publications
date: 2015
type: Article
type: PeerReviewed
identifier:   Wagdy, M. and Faye, I. and Rohaya, D.  (2015) Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation.  International Journal of Imaging and Robotics, 15 (3).  pp. 88-105.  ISSN 2231525X     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930795213&partnerID=40&md5=26e99531961fa64f1452fd7db7c05085