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dc.contributor.authorAlaei, Alireza
dc.contributor.authorRaveaux, Romain
dc.contributor.authorConte, Donatello
dc.contributor.authorStantic, Bela
dc.contributor.editorJuan E. Guerrero
dc.date.accessioned2019-06-08T01:31:24Z
dc.date.available2019-06-08T01:31:24Z
dc.date.issued2018
dc.identifier.isbn9781538633465
dc.identifier.doi10.1109/DAS.2018.42
dc.identifier.urihttp://hdl.handle.net/10072/382607
dc.description.abstractBased on the hypothesis that a good / poor quality document image is most probably a readable / unreadable document, document image quality and readability have interchangeably been used in the literature. These two terms, however, have different meanings implying two different perspectives of looking at document images by human being. In document images, the level of quality and the degree of readability may have a relation / correlation considering human perception. However, to the best of our knowledge there is no specific study to characterise this relation and also validate the abovementioned hypothesis. In this work, at first, we created a dataset composed of mostly camera-based document images with various distortion levels. Each document image has then been assessed with regard to two different measures, the level of quality and the degree of readability, by different individuals. A detailed Normalised Cross Correlation analysis along with different statistical analysis based on Shapiro-Wilks and Wilcoxon tests has further been provided to demonstrate how document image quality and readability are linked. Our findings indicate that the quality and readability were somewhat different in terms of the population distributions. However, the correlation between quality and readability was 0.99, which implies document quality and readability are highly correlated based on human perception.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofchapter50035
dc.relation.ispartofconferencename13th IAPR International Workshop on Document Analysis Systems (DAS)
dc.relation.ispartofconferencetitle2018 13TH IAPR INTERNATIONAL WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS (DAS)
dc.relation.ispartofdatefrom2018-04-24
dc.relation.ispartofdateto2018-04-27
dc.relation.ispartoflocationTU Wien, Vienna, AUSTRIA
dc.relation.ispartofpagefrom363
dc.relation.ispartofpageto368
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classified
dc.subject.fieldofresearchcode080199
dc.title"Quality" vs. "Readability" in Document Images: Statistical Analysis of Human Perception
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionPost-print
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorAlaei, Ali Reza R.


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