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dc.contributor.authorInglis, Stuart J.en_NZ
dc.contributor.authorWitten, Ian H.en_NZ
dc.date.accessioned2016-02-18T02:05:48Z
dc.date.available1993en_NZ
dc.date.available2016-02-18T02:05:48Z
dc.date.issued1993en_NZ
dc.identifier.citationInglis, S. J., & Witten, I. H. (1993). Compression-based template matching (Computer Science Working Papers 93/8). Department of Computer Science, University of Waikato.en
dc.identifier.issn1170-487Xen_NZ
dc.identifier.urihttps://hdl.handle.net/10289/9925
dc.description.abstractTextual image compression is a method of both lossy and lossless image compression that is particularly effective for images containing repeated sub-images, notably pages of text (Mohiuddin et al., 1984; Witten et al., 1992). The process comprises three main steps: • Extracting all the characters from an image; • Building a library that contains one representative for each character class; • Compressing the image with respect to the library.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherDepartment of Computer Science, University of Waikatoen_NZ
dc.relation.ispartofseriesComputer Science Working Papers
dc.rights© 1993 by Stuart Inglis & Ian H. Witten
dc.subjectMachine learning
dc.titleCompression-based template matchingen_NZ
dc.typeWorking Paper
uow.relation.series93/8
dc.relation.isPartOfWorking Paper Seriesen_NZ
pubs.confidentialfalseen_NZ
pubs.elements-id137082


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