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基于邻域标记的QR码识别方法

QR Code Recognition Methods Based on Neighborhood Mark

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【作者】 熊用汪鲁才

【Author】 XIONG Yong,WANG Lu-Cai (Polytechnic College,Hunan Normal University,ChangSha 410081,China)

【机构】 湖南师范大学工学院

【摘要】 Hough变换、曲面拟合背景去除、控制点变换等方法是QR码识别应用中图像预处理的重要方法,针对图像预处理后图像的识别率比较低缺点,提出了一种基于邻域标记法的QR码识别方法。利用模板邻域标记QR码,对邻域标记进行阈值的处理得出取样网格。实践表明,本文算法能有效的提高QR码的识别效率和效果。

【Abstract】 Hough transformation,surface-fitting removing background and control point transformation are the essential methods of image preprocessing in QR code application.An improved QR code recognition method based on the neighborhood mark was proposed in this paper to improve the low efficiency of the image recognition after image preprocessing.A template was used to match with QR code image,the neighborhood mark image was obtained easily. Then,a selected threshold was processed the neighborhood mark and the sample grid image was obtained.The simulated results proved that the QR code recognition efficiency and the effect were improved.

【基金】 湖南省科技厅科研基金项目(No.2010FJ6014);湖南省教育厅青年基金项目(No.2007B042);湖南省研究生创新基金项目(No.2009CX114)
  • 【会议录名称】 第十五届全国图象图形学学术会议论文集
  • 【会议名称】第十五届全国图象图形学学术会议
  • 【会议时间】2010-12-10
  • 【会议地点】中国广东广州
  • 【分类号】TP391.41
  • 【主办单位】中国图象图形学学会
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