DocumentCode :
1772434
Title :
Document image skew detection and correction method based on extreme points
Author :
Wagdy, Marian ; Faye, Ibrahima ; Rohaya, Dayang
Author_Institution :
Centre of Intell. Signal & Imaging Res. (CISIR), Univ. Teknol. Petronas, Tronoh, Malaysia
fYear :
2014
fDate :
3-5 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
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 figures. 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.
Keywords :
computational geometry; document image processing; object detection; complexity levels; document image skew angle estimation; document image skew correction method; document image skew detection method; document variety; extreme points; figures; paragraphs; tables; text lines; Complexity theory; Degradation; Estimation; Noise; Text analysis; Transforms; document image analysis; extreme points; morphology operation; skew angle estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Sciences (ICCOINS), 2014 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4391-3
Type :
conf
DOI :
10.1109/ICCOINS.2014.6868412
Filename :
6868412
Link To Document :
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