21 July 2017 The location and recognition of anti-counterfeiting code image with complex background
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104200E (2017) https://doi.org/10.1117/12.2282584
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
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.
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Jing Ni, Jing Ni, Quan Liu, Quan Liu, Ping Lou, Ping Lou, Ping Han, Ping Han, } "The location and recognition of anti-counterfeiting code image with complex background", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200E (21 July 2017); doi: 10.1117/12.2282584; https://doi.org/10.1117/12.2282584
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