Review of Offline Text Independent Writer Identification Techniques

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dc.contributor.author Dr Shehzad Khalid
dc.contributor.author Uzma Naqvi
dc.contributor.author Sana Shokatb
dc.date.accessioned 2017-11-22T07:24:47Z
dc.date.available 2017-11-22T07:24:47Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/123456789/5017
dc.description.abstract This paper reviews various text independent writer identification techniques through offline documents. Different features extraction methods are discussed. Classification approaches that are mainly used for identification by the researchers and verification by different groups and individuals are presented. Identification rates achieved by the reviewed papers are tabulated and analyzed. A survey of different databases used in the reviewed papers is performed. Application of writer identification in different language domains is also discussed. Future directions for the automated writer identification are presented in the end. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.subject Department of Computer Engineering CE en_US
dc.title Review of Offline Text Independent Writer Identification Techniques en_US
dc.type Article en_US


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