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Authors: Gang Gu ; Jiangqin Wu ; Tianjiao Mao and Pengcheng Gao

Affiliation: Zhejiang University, China

Keyword(s): GIST-SIFT-SSC, Image Understanding, Chinese Characters Recognition, Mobile Platform.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Digital Photography ; Document Imaging in Business

Abstract: Chinese characters are profound and polysemantic. Reading a Chinese character is a procedure of image understanding, if the Chinese character is captured as an image. Due to the complexity of structure and plenty of Chinese characters, there always exist some unfamiliar characters when reading books, so it would be great if a tool is provided to help users understand the meaning of unknown characters. We propose a method that combines global and local features(i.e., GIST and SIFT features) to recognize the Chinese character images captured from mobile camera. Three schemes are investigated based on practical considerations. Firstly,the so-called GIST and SIFT descriptors extracted from Chinese character images are adopted purely as features. Then filter the SIFT feature points of similar Chinese character images based on GIST feature. Finally, compress the storage of GIST and SIFT descriptors to accommodate mobile platform with Similarity Sensitive Coding(SSC) algorithm. At the stag e of recognition, the top 2k Chinese characters are firstly obtained by hamming distance in GIST feature space, then reorder the selected characters as final result by SIFT feature. We build an Android app that implements the recognition algorithm. Experiment shows satisfying recognition results of our proposed application compared to other Android apps. (More)

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Paper citation in several formats:
Gu, G.; Wu, J.; Mao, T. and Gao, P. (2016). Chinese Character Images Recognition and Its Application in Mobile Platform. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 311-318. DOI: 10.5220/0005679703110318

@conference{visapp16,
author={Gang Gu. and Jiangqin Wu. and Tianjiao Mao. and Pengcheng Gao.},
title={Chinese Character Images Recognition and Its Application in Mobile Platform},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005679703110318},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Chinese Character Images Recognition and Its Application in Mobile Platform
SN - 978-989-758-175-5
IS - 2184-4321
AU - Gu, G.
AU - Wu, J.
AU - Mao, T.
AU - Gao, P.
PY - 2016
SP - 311
EP - 318
DO - 10.5220/0005679703110318
PB - SciTePress