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The location and recognition of anti-counterfeiting code image with complex background
Author(s): Jing Ni; Quan Liu; Ping Lou; Ping Han
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Paper Abstract

The order of cigarette market is a key issue in the tobacco business system. The anti-counterfeiting code, as a kind of effective anti-counterfeiting technology, can identify counterfeit goods, and effectively maintain the normal order of market and consumers' rights and interests. There are complex backgrounds, light interference and other problems in the anti-counterfeiting code images obtained by the tobacco recognizer. To solve these problems, the paper proposes a locating method based on Susan operator, combined with sliding window and line scanning,. In order to reduce the interference of background and noise, we extract the red component of the image and convert the color image into gray image. For the confusing characters, recognition results correction based on the template matching method has been adopted to improve the recognition rate. In this method, the anti-counterfeiting code can be located and recognized correctly in the image with complex background. The experiment results show the effectiveness and feasibility of the approach.

Paper Details

Date Published: 21 July 2017
PDF: 9 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200E (21 July 2017); doi: 10.1117/12.2282584
Show Author Affiliations
Jing Ni, Wuhan Univ. of Technology (China)
Quan Liu, Wuhan Univ. of Technology (China)
Ping Lou, Wuhan Univ. of Technology (China)
Ping Han, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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