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Authors: Mukesh M. Goswami 1 and Suman K. Mitra 2

Affiliations: 1 Dharmsinh Desai University, India ; 2 Dhirubhai Ambani Inst. of Information and Communication Tech., India

Keyword(s): Pattern Recognition, Character Shape Representation, Shape Similarity, Character Recognition, Gujarati Characters.

Related Ontology Subjects/Areas/Topics: Applications ; Data Engineering ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Shape Representation ; Software Engineering

Abstract: This paper presents extraction and identification of the high-level stroke (HLS) from printed Gujarati characters. The HLS feature describes a character as a sequence of predefined high-level strokes. Such a high-level shape representation enables approximate shape similarity computation between characters and can easily be extended to word-level. The shape similarity based character and word matching have extensive application in word-spotting based document image retrieval and character classification. Therefore, the proposed features were tested on printed Gujarati character database consisting of 12000 samples from 42 different symbol classes. The classification is performed using k-nearest neighbor with shape similarity measure. Also, a shape similarity based printed Gujarati word matching experiment is reported on a small word image database and the initial result are encouraging.

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Paper citation in several formats:
Goswami, M. and Mitra, S. (2017). High Level Shape Representation in Printed Gujarati Character. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-222-6; ISSN 2184-4313, SciTePress, pages 418-425. DOI: 10.5220/0006191104180425

@conference{icpram17,
author={Mukesh M. Goswami. and Suman K. Mitra.},
title={High Level Shape Representation in Printed Gujarati Character},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2017},
pages={418-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006191104180425},
isbn={978-989-758-222-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - High Level Shape Representation in Printed Gujarati Character
SN - 978-989-758-222-6
IS - 2184-4313
AU - Goswami, M.
AU - Mitra, S.
PY - 2017
SP - 418
EP - 425
DO - 10.5220/0006191104180425
PB - SciTePress

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