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Sinhala Handwriting Recognition Mechanism Using Zone Based Feature Extraction

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dc.contributor.author Dharmapala, KAKND
dc.contributor.author Wijesooriya, WPMV
dc.contributor.author Chandrasekara, CP
dc.contributor.author Rathnapriya, UKAU
dc.contributor.author Ranathunga, L
dc.date.accessioned 2017-03-11T10:09:18Z
dc.date.available 2017-03-11T10:09:18Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12501
dc.description.abstract Identification of Sinhala characters is considerably more difficult than other wide-spoken languages because of the complex shapes and similarities that are present within characters. With the addition of modifiers to the core characters, the recognition becomes increasingly more difficult. Most of the present systems only address the identification task of core characters which has potentially less real life applicability. The proposed solution tries to identify characters with or without touching and non-touching modifiers which can be effectively used in multiple applications. en_US
dc.language.iso en en_US
dc.subject Sinhala, Handwriting Recognition, Preprocessing, Character Segmentation, Classification, Neural Networks, Image Processing. en_US
dc.title Sinhala Handwriting Recognition Mechanism Using Zone Based Feature Extraction en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Department of Information Technology en_US
dc.identifier.year 2015 en_US
dc.identifier.conference ITRU RESEARCH SYMPOSIUM en_US
dc.identifier.place UNIVERSITY OF MORATUWA en_US
dc.identifier.pgnos 10-15 en_US
dc.identifier.email vpowerrc@gmail.com en_US
dc.identifier.email naleendhanushka@gmail.com en_US
dc.identifier.email chinthakacccc@gmail.com en_US
dc.identifier.email amdevex@gmail.com en_US
dc.identifier.email lochandaka@uom.lk en_US


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