Proceedings of the International Conference on Chemical, Material and Food Engineering

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Uyghur Printed Document Image Retrieval based on Hu Invariant Moment Features

Authors
Ubul Kurban, Amat Ayxemgul, Aysa Yunus, Yadikar Nurbiya, Aizezi Yasen, Yibulayin Tuergin
Corresponding Author
Ubul Kurban
Available Online July 2015.
DOI
10.2991/cmfe-15.2015.190How to use a DOI?
Keywords
Uyghur; Document image retrieval; Hu Invariant Moments Features; feature matching
Abstract

Document image retrieval technology is extensively studied, but there is no report about Uyghur document image retrieval. Hu invariant moment features based document image retrieval scheme is proposed for Uyghur document images in this paper. Firstly, seven types of invariant moment features are extracted from Uyghur document images after obtaining image edge information using Canny edge operator. Then, the features are matched using Euclidean distance classifier and Feature distance classifier between query image with the target images. It is obtained the search results after ordering candidate images according to their similarity. Two types of experiments which are different in query image size are conducted using 1948 Uygur printed document images. The experimental results show that, the highest document image retrieval efficiency (to be get the matching rate of 100%) is obtained here when using the hole page document image is to be set as query image, and the matching rate is declined when sub images are selected as queries, the more the number of sub images, the lower the matching efficiency, and the retrieval efficiency is reached at minimum level when using one sixteenth of the document as query in our experiment. The experimental results indicated that Hu invariant moment features can effectively describe the nature of the Uyghur document images.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Chemical, Material and Food Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/cmfe-15.2015.190
ISSN
2352-5401
DOI
10.2991/cmfe-15.2015.190How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Ubul Kurban
AU  - Amat Ayxemgul
AU  - Aysa Yunus
AU  - Yadikar Nurbiya
AU  - Aizezi Yasen
AU  - Yibulayin Tuergin
PY  - 2015/07
DA  - 2015/07
TI  - Uyghur Printed Document Image Retrieval based on Hu Invariant Moment Features
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 808
EP  - 811
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.190
DO  - 10.2991/cmfe-15.2015.190
ID  - Kurban2015/07
ER  -