Recognition of Urdu ligatures: A Holistic Approach

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dc.contributor.author Dr Shehzad Khalid
dc.contributor.author Israr Uddin Khattak
dc.contributor.author Imran Siddiqi
dc.contributor.author Chawki Djeddi
dc.date.accessioned 2017-11-22T07:08:58Z
dc.date.available 2017-11-22T07:08:58Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/123456789/5009
dc.description.abstract This paper presents an effective segmentation-free and scale-invariant technique for recognition of Urdu ligatures in Nastaliq font. The proposed technique relies on separating the main body of ligatures from the secondary components and training a separate hidden Markov model for each. Features capturing projection, concavity and curvature information of ligatures are extracted using right-to-Ieft sliding windows and are fed to the models for training. The system trained and evaluated on a total of more than 2,000 frequently occurring Urdu ligatures from a standard database realized a recognition rate of 97.93%. 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 Recognition of Urdu ligatures: A Holistic Approach en_US
dc.type Article en_US


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