Document image skew detection and correction method based on extreme points

In this paper we present a method for estimating the document image skew angle. The main idea of this method is based on the concept that any document image has objects with rectangular shape such as paragraphs, text lines, tables and figuResearch These objects can be bounded by rectangles. We use t...

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Main Authors: Wagdy, M., Faye, I., Rohaya, D.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.31239 /
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938770494&doi=10.1109%2fICCOINS.2014.6868412&partnerID=40&md5=8b54ef77fa2252c8eb1d3d8f443014c9
http://eprints.utp.edu.my/31239/
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id utp-eprints.31239
recordtype eprints
spelling utp-eprints.312392022-03-25T09:03:44Z Document image skew detection and correction method based on extreme points Wagdy, M. Faye, I. Rohaya, D. In this paper we present a method for estimating the document image skew angle. The main idea of this method is based on the concept that any document image has objects with rectangular shape such as paragraphs, text lines, tables and figuResearch These objects can be bounded by rectangles. We use the extreme point's properties to obtain the corners of the rectangle which fits the largest connected component of the document image. The angle of this rectangle represents the angle of document skew. The experimental results show the high performance of the algorithm in detecting the angle of skew for a variety of documents with different levels of complexity. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938770494&doi=10.1109%2fICCOINS.2014.6868412&partnerID=40&md5=8b54ef77fa2252c8eb1d3d8f443014c9 Wagdy, M. and Faye, I. and Rohaya, D. (2014) Document image skew detection and correction method based on extreme points. In: UNSPECIFIED. http://eprints.utp.edu.my/31239/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper we present a method for estimating the document image skew angle. The main idea of this method is based on the concept that any document image has objects with rectangular shape such as paragraphs, text lines, tables and figuResearch These objects can be bounded by rectangles. We use the extreme point's properties to obtain the corners of the rectangle which fits the largest connected component of the document image. The angle of this rectangle represents the angle of document skew. The experimental results show the high performance of the algorithm in detecting the angle of skew for a variety of documents with different levels of complexity. © 2014 IEEE.
format Conference or Workshop Item
author Wagdy, M.
Faye, I.
Rohaya, D.
spellingShingle Wagdy, M.
Faye, I.
Rohaya, D.
Document image skew detection and correction method based on extreme points
author_sort Wagdy, M.
title Document image skew detection and correction method based on extreme points
title_short Document image skew detection and correction method based on extreme points
title_full Document image skew detection and correction method based on extreme points
title_fullStr Document image skew detection and correction method based on extreme points
title_full_unstemmed Document image skew detection and correction method based on extreme points
title_sort document image skew detection and correction method based on extreme points
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938770494&doi=10.1109%2fICCOINS.2014.6868412&partnerID=40&md5=8b54ef77fa2252c8eb1d3d8f443014c9
http://eprints.utp.edu.my/31239/
_version_ 1741197540918820864
score 11.62408

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