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dc.contributor.authorAdak, Chandranath
dc.contributor.authorChaudhuri, Bidyut B.
dc.contributor.authorBlumenstein, Michael
dc.date.accessioned2017-12-05T02:42:01Z
dc.date.available2017-12-05T02:42:01Z
dc.date.issued2017
dc.identifier.doi10.1109/IJCNN.2017.7966025
dc.identifier.urihttp://hdl.handle.net/10072/355225
dc.description.abstractThe presence of struck-out text in handwritten manuscripts may affect the accuracy of automated writer identification. This paper presents a study on such effects of struck-out text. Here we consider offline English and Bengali handwritten document images. At first, the struck-out texts are detected using a hybrid classifier of a CNN (Convolutional Neural Network) and an SVM (Support Vector Machine). Then the writer identification process is activated on normal and struck-out text separately, to ascertain the impact of struck-out texts. For writer identification, we use two methods: (a) a hand-crafted feature-based SVM classifier, and (b) CNN-extracted auto-derived features with a recurrent neural model. For the experimental analysis, we have generated a database from 100 English and 100 Bengali writers. The performance of our system is very encouraging.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameIJCNN 2017
dc.relation.ispartofconferencetitle2017 International Joint Conference on Neural Networks (IJCNN 2017)
dc.relation.ispartofdatefrom2017-05-14
dc.relation.ispartofdateto2017-05-19
dc.relation.ispartoflocationAnchorage, Alaska, United States
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classified
dc.subject.fieldofresearchcode080199
dc.titleImpact of struck-out text on writer identification
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorAdak, Chandranath


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