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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39322
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dc.titleImage-based document vectors for text retrieval
dc.contributor.authorYu, Z.
dc.contributor.authorTan, C.L.
dc.date.accessioned2013-07-04T07:39:02Z
dc.date.available2013-07-04T07:39:02Z
dc.date.issued2000
dc.identifier.citationYu, Z.,Tan, C.L. (2000). Image-based document vectors for text retrieval. Proceedings - International Conference on Pattern Recognition 15 (4) : 393-396. ScholarBank@NUS Repository.
dc.identifier.issn10514651
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39322
dc.description.abstractWe propose a method for constructing a vector for a document image to represent its content to facilitate text retrieval. The method is based on an N-Gram algorithm for text similarity measure based on the frequency of occurrence of n-character strings appearing in the electronic text. Instead of using ASCII values, the present study investigates the use of character images to obtain the document vector and has found promising results for use in our news article retrieval project. © 2000 IEEE.
dc.sourceScopus
dc.subjectDocument image
dc.subjectN-gram algorithm
dc.subjectSimilarity measure
dc.subjectText retrieval
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings - International Conference on Pattern Recognition
dc.description.volume15
dc.description.issue4
dc.description.page393-396
dc.description.codenPICRE
dc.identifier.isiutNOT_IN_WOS
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