eprintid: 6327
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/63/27
datestamp: 2023-11-09 16:18:06
lastmod: 2023-11-09 16:18:06
status_changed: 2023-11-09 16:05:41
type: article
metadata_visibility: show
creators_name: Wagdy, M.
creators_name: Faye, I.
creators_name: Rohaya, D.
title: Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation
ispublished: pub
note: cited By 4
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). © 2015 by IJIR (CESER PUBLICATIONS).
date: 2015
publisher: CESER Publications
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930795213&partnerID=40&md5=26e99531961fa64f1452fd7db7c05085
full_text_status: none
publication: International Journal of Imaging and Robotics
volume: 15
number: 3
pagerange: 88-105
refereed: TRUE
issn: 2231525X
citation:   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