Publication:
A Review of Skew Detection Techniques for Document

Simple item page
dc.ConferencecodeUK Simulat Soc, Asia Modelling & Simulat Sect, IEEE, IEEE Comp Soc UK & RI Sect, IEEE Reg 8, European Federat Simulat Soc, European Council Modelling & Simulat, Kingston Univ, Imperial Coll, Machine Intelligence Res Labs, Norwegian Univ Sci & Technol, Nottingham Trent Univ, Univ Technol Malaysia, Univ Sci Malaysia, Univ Malaysia Sabah, Univ Malaysia Perlis, Univ Malaysia Pahang, Univ Technol Mara, IEEE UK & RI, IEEE Reg 10, IEEE Comp Soc
dc.ConferencedateMAR 25-27, 2015
dc.ConferencelocationEmmanuel Coll, Cambridge, ENGLAND
dc.Conferencename17th IEEE UKSim-AMSS International Conference on Computer Modelling and Simulation (UKSim)
dc.contributor.authorAl-Khatatneh, Aen_US
dc.contributor.authorPitchay, SAen_US
dc.contributor.authorAl-Qudah, Men_US
dc.date.accessioned2024-05-29T02:50:49Z
dc.date.available2024-05-29T02:50:49Z
dc.date.issued2015
dc.description.abstractSkew detection and correction of documents is a problematic step in document image analysis. Many methods have been proposed by researchers for estimating the angle at which a document image is rotated (document skew) in binary image documents. Therefore, this paper aims to evaluate the most frequently skew detection techniques cited in the literature which are (i) Projection Profile Analysis (PP), (ii) Hough Transform (HT) and (iii) Nearest Neighbour (NN). This study points out the weaknesses and the strengths of each method and compares the performance of these methods in term of speed and accuracy. The evaluation result shows that in term of speed, the NN technique achieves the fastest time. However, NN performs poorly for the accuracy estimation. PP gives the best angle estimation even though it takes the longest time to execute. Hence, this finding can be used as the basis evaluation review for image analysis researchers in improving the existing technique of skew detection and recommend algorithm with a better accuracy in a shorter time.
dc.identifier.doi10.1109/UKSim.2015.73
dc.identifier.epage321
dc.identifier.issn2381-4772
dc.identifier.scopusWOS:000411860000033
dc.identifier.spage316
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11116
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 17th UKSIM-AMSS International Conference On Computer Modelling And Simulation (UKSIM)
dc.sourceWeb Of Science (ISI)
dc.subjectdocument image processingen_US
dc.subjectoptical character recognitionen_US
dc.subjectskew detectionen_US
dc.titleA Review of Skew Detection Techniques for Document
dc.typeProceedings Paperen_US
dspace.entity.typePublication

Files

Collections

Web of Science_WoS