NDLI: Image recognition based on invariant moment in the projection space

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Acknowledgements

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Volume 5 - 2004

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Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)

Proceedings. International Conference on Machine Learning and Cybernetics

Image recognition based on invariant moment in the projection space

Content Provider	IEEE Xplore Digital Library
Author	Jun-Hong Li Quan Pan Pei-Ling Cui Hong-Cai Zhang Yong-Mei Cheng
Copyright Year	2004
Description	Author affiliation: Sch. of Autom., Northwestern Polytech Univ., Xi'an, China (Jun-Hong Li; Quan Pan; Pei-Ling Cui; Hong-Cai Zhang; Yong-Mei Cheng)
Abstract	This paper proposes a projection-based invariant moment for image recognition. A set of features invariant to image translation and scaling are obtained in the 1-D projection space. For getting rotational invariance, rapid transform is employed. After obtaining the invariant feature vector, threshold analysis is used for feature data optimization, and principle component analysis (PCA) is applied for feature data length compression. Experimental results show the superiority of our method over Hu and other invariant moments.
Starting Page	3606
Ending Page	3610
File Size	325021
Page Count	5
File Format	PDF
ISBN	0780384032
DOI	10.1109/ICMLC.2004.1380419
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Principal component analysis Pattern recognition Discrete transforms Automation Image coding Optimization methods Data compression Propulsion Machine learning
Content Type	Text
Resource Type	Article

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