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《Opto-Electronic Engineering》 2010-09
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A Recognition Technology of Tire Specifications of Large Noise Image

YANG Ji-chun,HUANG Zhan-hua,CAI Huai-yu,ZHANG Yin-xin(College of Precision Instrument and Opto-Electronic Engineering,Tianjin University,Tianjin 300072,China)  
For big noises tire image,a method of character truncation was presented to get distinguishing outer contour features.Artificial neural network and features of relations was were used to recognize tire specifications.First,the sample features of distinguishing specifications were gotten:two-thirds characters were intercepted to get run-length characteristics of its external contour.Then,one recognition result was gotten by BP neural network training and recognition.Finally,character features of relations processed fore results were applied to do the second recognition.Experimental results show that the characteristics of acquisition and the second recognition algorithms can effectively identify the tire specifications.Moreover,BP neural network has better fault-tolerance and recognition rate for deformation characters caused by noises,and feature gotten and secondary identification algorithm can effectively identify tire specifications.
【CateGory Index】: TP391.41
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