NDLI: Trademark classification by shape using ensemble of RBFNNs

Content Provider	IEEE Xplore Digital Library
Author	Wei-Wei Lai Ng, W.W.Y. Chan, P.P.K. Yeung, D.S.
Copyright Year	2010
Description	Author affiliation: Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, 510006, Guangzhou, China (Wei-Wei Lai; Ng, W.W.Y.; Chan, P.P.K.; Yeung, D.S.)
Abstract	Identification of similar trademarks is important in trademark registration. Shape feature could intuitively and effectively describes an object in a given image. Therefore, shape feature plays an important role in content-based image retrieval (CBIR) systems. The shape feature is particularly suitable for trademark image retrieval (TIR) systems. In this paper, we propose an effective solution for TIR by using Hu's invariant moments and an ensemble of Radial Basis Function Neural Networks (RBFNN) trained via a minimization of the Localized Generalization Error Model (L-GEM). The proposed method outperforms TIR with similarity measure based on Euclidean distance.
Starting Page	391
Ending Page	396
File Size	121875
Page Count	6
File Format	PDF
ISBN	9781424465262
e-ISBN	9781424465279
DOI	10.1109/ICMLC.2010.5581030
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Trademarks Shape Image retrieval Feature extraction Training Image color analysis Euclidean distance L-GEM CBIR Shape Feature Trademark Image Retrieval
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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