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计算机工程 ›› 2011, Vol. 37 ›› Issue (4): 278-280. doi: 10.3969/j.issn.1000-3428.2011.04.100

• 开发研究与设计技术 • 上一篇    下一篇

基于符号特征的QR码识别算法

张 民,郑建立   

  1. (东华大学信息科学与技术学院,上海 201620)
  • 出版日期:2011-02-20 发布日期:2011-02-17
  • 作者简介:张 民(1985-),男,硕士研究生,主研方向:数字图像算法,嵌入式系统;郑建立,副教授

Recognition Algorithm of QR Code Based on Symbol Characteristic

ZHANG Min, ZHENG Jian-li   

  1. (College of Information Science and Technology, Donghua University, Shanghai 201620, China)
  • Online:2011-02-20 Published:2011-02-17

摘要: 在传统QR码识别算法基础上,提出一种利用QR码自身的符号特征进行识别定位的改进算法。对采集到的图像进行二值化处理,由符号特征定位QR码在采集图像中的位置,通过改进的双线性变换校正在采集过程中引起的图像几何形变,并通过逐模块垂直投影提取条码信息。实验结果表明,该算法具有识别时间短、识别率高等特点。

关键词: QR码, 符号特征, 几何形变, 二值化, 双线性变换

Abstract: A recognition algorithm of QR code using its symbol characteristic is put forward based on traditional algorithms. Image binarization can reduce process computation, and locates QR code based on its symbol characteristic. Because of mishandling and other reasons, the captured image usually appears geometric deformations. An improved bilinear transform resolves this problem effectively. The algorithm collects the code information through vertical projection of the QR code module one by one. Experimental result shows this improved algorithm is simple and efficient. The recognition time is short and the recognition rate is great under this algorithm.

Key words: QR code, symbol characteristic, geometric deformations, binarization, bilinear transformation

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