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Design and Implementation of Paper Counting Algorithm Based on Gabor Filter

Published: 29 December 2018 Publication History

Abstract

Based on the image processing method for counting on paper the most critical extraction problem on the paper stripes, use a 2D Gaborl filtering method based on the edge of the paper processing, trying to solve the problem. The method is firstly established template Gabor filters of different frequencies, the arrangement of the original paper filter, edge images are arranged strong regularity, and then sampling pretreatment paper image gray pixel curve on the paper a row direction. Finally, according to the gray scale pixels curves were obtained using a gray value differential algorithm to count the amount of paper based on. Although the Gabor filter is greatly affected by the quality of the paper, so this method can not guarantee the application range of paper counting, but through the experiments verify the validity and accuracy of the method.

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      cover image ACM Other conferences
      ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
      December 2018
      365 pages
      ISBN:9781450365703
      DOI:10.1145/3305275
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 December 2018

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      Author Tags

      1. Gabor filter
      2. paper counting
      3. pixel curve
      4. texture feature

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      ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
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