光学学报, 2017, 37 (10): 1010001, 网络出版: 2018-09-07   

一种多目标QR码图像快速校正方法 下载: 963次

A Fast Image Correction Method for Multi-Target QR Codes
作者单位
1 燕山大学电气工程学院, 河北 秦皇岛 066004
2 燕山大学车辆与能源学院, 河北 秦皇岛 066004
摘要
随着信息物联网的发展,快速响应(QR)码的应用越来越多样化。传统单个QR码的识别和应用已不能满足现有需求,因此提出一种多目标QR码的校正方法。对图像进行二值化,利用QR码自身符号特征进行定位,结合连通区域标记算法对图中的多个QR码进行分割。接着利用轮廓跟踪获得QR码探测图形边界,并利用几何关系获得探测图形上的3个顶点。根据探测点和3个顶点的关系,获得第4个顶点,最后用逆投影变换依次对每个QR码进行校正处理。使用C++语言实现算法,并用Zbar对校正后的QR码进行识别测试。实验结果表明,所提算法能够实现对多目标QR码的快速校正,识别率高,且能克服不同光照、背景干扰影响,具有较好的稳健性。
Abstract
With the development of information networking, the application of quick response (QR) codes is more and more diverse. The recognition and application of traditional single QR code cannot meet the current demands. Therefore, a correction algorithm for multi-target QR codes is proposed. The image is binarized and the code symbolic characteristics are used to locate the QR codes. The QR codes are segmented based on those characteristics and the connected components labeling algorithm. Then, contour tracing is used to obtain the boundaries of the QR codes detection pattern. Three vertices on the detection pattern are obtained by using the geometric relationship. The fourth vertex is obtained by the relationship between the probe point and the other vertices. Finally, the inverse perspective transformation is used to correct the code shape. The proposed algorithm is implemented by C++ programming language, and the corrected QR codes are tested by Zbar. Experimental results show that the proposed algorithm can carry out the correction of multi-target QR codes quickly with high recognition rate, and can overcome the influence of different illumination and background interference, showing good robustness.

丁伟利, 王明魁, 谷朝, 王文锋. 一种多目标QR码图像快速校正方法[J]. 光学学报, 2017, 37(10): 1010001. Weili Ding, Mingkui Wang, Zhao Gu, Wenfeng Wang. A Fast Image Correction Method for Multi-Target QR Codes[J]. Acta Optica Sinica, 2017, 37(10): 1010001.

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