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A Resistible Noise Recognition Method for Steel Printing Code

  

  1. (School of Information Engineering and Technology, Changzhou Institute of Light Industry Technology, Changzhou 213164, China)
  • Received:2018-07-09 Online:2019-01-03 Published:2019-01-04

Abstract: Aiming at the noise sensitive problem of total margin support vector machine (TM-SVM), the pinball loss function is introduced, and the total margin support vector machine with pinball loss function (pin-TM-SVM) is proposed. Meanwhile, the recognition method for steel printing code in the noise environment is proposed. First, the preprocessing of steel printing image is carried out. Then the extracted image features are classified by pin-TM-SVM method. The experimental results show that the pin-TM-SVM has its distinctive ability of classification accuracy and ROC curve.

Key words: recognition for steel printing code, total margin support vector machine, pinball loss function, noise

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