Publication:
A Review of Skew Detection Techniques for Document

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dc.Conferencecode123957
dc.Conferencedate25 March 2015 through 27 March 2015
dc.Conferencename17th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2015
dc.citedby5
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia (UKM)
dc.contributor.authorAl-Khatatneh A.en_US
dc.contributor.authorPitchay S.A.en_US
dc.contributor.authorAl-Qudah M.en_US
dc.date.accessioned2024-05-29T01:55:06Z
dc.date.available2024-05-29T01:55:06Z
dc.date.issued2016
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. � 2015 IEEE.
dc.description.natureFinalen_US
dc.editorCant R.Orsoni A.Saad I.Al-Dabass D.Ibrahim Z.en_US
dc.identifier.ArtNo7576562
dc.identifier.doi10.1109/UKSim.2015.73
dc.identifier.epage321
dc.identifier.isbn9781480000000
dc.identifier.scopus2-s2.0-84991821269
dc.identifier.spage316
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84991821269&doi=10.1109%2fUKSim.2015.73&partnerID=40&md5=7efadf08e486338fb715a7760d3fc3ce
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9630
dc.languageEnglish
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015
dc.sourceScopus
dc.subjectDocument image processingen_US
dc.subjectoptical character recognitionen_US
dc.subjectskew detectionen_US
dc.subjectCharacter recognitionen_US
dc.subjectHough transformsen_US
dc.subjectImage processingen_US
dc.subjectOptical character recognitionen_US
dc.subjectOptical data processingen_US
dc.subjectAccuracy estimationen_US
dc.subjectDocument image analysisen_US
dc.subjectDocument image processingen_US
dc.subjectEvaluation resultsen_US
dc.subjectEvaluation reviewsen_US
dc.subjectNearest neighbouren_US
dc.subjectProjection profile analysisen_US
dc.subjectSkew detectionen_US
dc.subjectImage analysisen_US
dc.titleA Review of Skew Detection Techniques for Document
dc.typeConference Paperen_US
dspace.entity.typePublication

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