NDLI: Optimal selection of binarization techniques for the processing of ancient palm leaf manuscripts

Content Provider	IEEE Xplore Digital Library
Author	Chamchong, R. Chun Che Fung
Copyright Year	2010
Description	Author affiliation: School of Information Technology, Murdoch University, 90, South Street, Western Australia 6150 (Chamchong, R.; Chun Che Fung)
Abstract	Ancient palm leaf manuscripts in Thailand have been preserved by many organizations for the protection and retrieval of traditional knowledge. With advanced computer technology, digitized media is now commonly used to record these documents. One objective of such work is to develop an efficient image processing system that could be used to retrieve knowledge and information automatically from these manuscripts. Binarization is an important stage during preprocessing of the manuscripts for subsequent extraction of text and characters. The output is then used for further processes such as character recognition and knowledge extraction. However, there is no single binarization technique that is suitable for all documents. This study aims to improve the binarization process intelligently by applying machine learning techniques to classify the optimal selection of binarization techniques of palm leaf manuscripts. Experiments results are reported and this technique could be applied for automatic selection of binarization techniques in other image processing problems.
Starting Page	3796
Ending Page	3800
File Size	1814280
Page Count	5
File Format	PDF
ISBN	9781424465866
ISSN	1062922X
e-ISBN	9781424465880
DOI	10.1109/ICSMC.2010.5642008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-10
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Lead Educational institutions Image Segmentation Palm leave manuscripts Binarization techniques
Content Type	Text
Resource Type	Article

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