Document image skew detection and correction method based on extreme points

• Main Authors: Wagdy, M., Faye, I., Rohaya, D.
• Format: Conference or Workshop Item
• 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/
• Institution: Universiti Teknologi Petronas

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.