Identification of Tool Based on Decision Fusion of Multi Features

Jia Jing Wang; Shu Sheng Zhang; Wei Ping He

doi:10.4028/www.scientific.net/AMM.496-500.1801

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Identification of Tool Based on Decision Fusion of...

Identification of Tool Based on Decision Fusion of Multi Features

Abstract:

In order to solve the problem of bar code failure because of inadequate protection, pollution and other factors in the process of production, presented a new multi-information fusion technology used of residual bar code information, shape, texture and the weight information to identify the tool information in the database and recovery the tool identification. Experimental results show that the proposed scheme has better performance in accuracy, robustness and efficiency, can fully satisfy the actual requirement in production.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1801-1807

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1801

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Online since:

January 2014

Authors:

Jia Jing Wang, Shu Sheng Zhang, Wei Ping He

Keywords:

Decision-Making Layer, Feature Extraction, Information Fusion

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References

[1] ISO/IEC 16022. Information Technology-International Symbology Specification-Data Matrix. International Organization for Standardization in Switzerland (2004).

Google Scholar

[2] LIU Ning-zhong, YANG Jing-yu: Journal of MINI-MICRO SYSTEMS, Vol. 25(2) (2004), p.283.

Google Scholar

[3] D. Chen, F. Zhang and G. M. He: Journal of Computer Engineering, Vol. 29(13) (2003), p.85.

Google Scholar

[4] LIU Weina, HU Donghong: Journal of Information Technology, Vol. 8(2006), p.46.

Google Scholar

[5] WANG Wei, HE Weiping and LEI lei et al: Journal of Computer-Aided Design & Computer Graphics, Vol. 24(5) (2012), p.612.

Google Scholar

[6] Yang Mingqiang: Shape-based Feature Extraction and Similarity Matching (Institute National des Sciences Appliqueing, France 2008).

Google Scholar

[7] Chai Hua: Journal of Computer and Modernization, Vol. 4(2013), p.197.

Google Scholar

[8] K. B. Sun , B. J. Super, in: Proceedings of the 10th IEEE International Conference on Computer Vision and Pattern Recognition, volume 2 of Progress of Classification of Information, Institute of Electrical and Electronics Engineers Computer Society Publisher (2005).

Google Scholar

[9] S. Belongie , J. Malik and J. Puzicha: Journal of IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 24(4) (2002), p.509.

Google Scholar

[10] Liu Li, Kuang Gangyao: Journal of Image and Graphics, Vol. 14(4) (2009), p.622.

Google Scholar