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| Design and Reseach of Paper Counting Algorithem Based on Texture Image |
| LIANG Hai-yi,WANG Ji-sen,LI Wen,SUN Ling-yuan |
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Abstract A paper counting algorithm based on the paper texture analysis is presented. The aim of the optimal design is to replace the manual paper counting with time-consuming and low precision, which collect the paper image with high precision image pickup device. To improve the speed of processing speed, Gauss filtering method was used to remove noise. Then directional filtering method and Gabor wavelet transform are combined to enhance the texture image. A counting correction algorithm is proposed according to the paper stack case, for the 0.3 mm stack of paper, the algorithm points to an accuracy rate is 100%, for the 0.2 mm stack of paper, the point of the accuracy rate is more than 99%. Test results show that the algorithm has good counting ability and high count accuracy.
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Received: 12 May 2015
Published: 16 June 2017
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Corresponding Authors:
Hai-yi LIANG
E-mail: nicam116@aliyun.com
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2017, Vol. 38 
