Study about Recognition of Digital Meter Dial Reading Based on SVM

Zhen Yuan Tu; Fang Hua Ning; Wu Jia Yu

doi:10.4028/www.scientific.net/AMM.615.194

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 615Study about Recognition of Digital Meter Dial...

Study about Recognition of Digital Meter Dial Reading Based on SVM

Abstract:

In practice, it is difficult for Support Vector Machine (SVM) to have a relatively high recognition rate as well as a quite fast recognition speed. In order to resolve this defect, in this paper we build a SVM classification model combining numerical characteristics. We use readings of rotary natural meters as the test temple, do positioning, preprocessing, feature points extracting, classifying and other series of operations to the numeric region of the dial. Then with the idea of cross-validation, we keep doing parameter optimation to SVM. At last, after making a comprehensive contrast of the effects which numerous performance factors make on the experimental outputs, we try to give our explanation of the outputs from different perspectives.

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Periodical:

Applied Mechanics and Materials (Volume 615)

Pages:

194-197

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.615.194

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Online since:

August 2014

Authors:

Zhen Yuan Tu, Fang Hua Ning, Wu Jia Yu*

Keywords:

Cross-Validation, Digital Recognition, Parameter Optimation, Support Vector Machine (SVM)

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* - Corresponding Author

References

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DOI: 10.1109/78.650102

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