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Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents

Sangsawad, S. and Fung, C.C. (2010) Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents. In: 2nd International Conference on Computer and Automation Engineering, 26 - 28 February, Singapore pp. 98-101.

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    Link to Published Version: http://dx.doi.org/10.1109/ICCAE.2010.5451992
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    Abstract

    This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level alphabets and different writing styles. This causes low recognition rate based on automated techniques such as Optical Character Recognition (OCR). This paper also examined off-line signature recognition techniques in order to adapt to Thai handwriting system for matching data. The objective of the proposal is to develop a semiautomated method to index and retrieve Thai handwritten documents based on sampled keywords by combining CBIR and signature recognition techniques.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: © 2010 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: 2nd International Conference on Computer and Automation Engineering, ICCAE 2010; Singapore; 26 February 2010 through 28 February 2010; Category number CFP1096F-PRT; Code 80373, pages 98 - 101.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/1780
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