团队进步算法在快速响应码识别中的应用  

Team progress algorithm used in recognition of quick response code

作　　者：包怡[1] 高美凤[1] 

机构地区：[1]江南大学通信与控制工程学院,江苏无锡214122

出　　处：《计算机工程与应用》2010年第25期171-173,187,共4页Computer Engineering and Applications

摘　　要：针对QR码在采集过程中易发生寻像图形受污染的情况,首先改进了QR码的识别模式模型,接着将团队进步算法用于QR码基元识别,该算法通过将优化变量分成普通组和精英组,经过学习、探索等运算,合理地更新成员,最终可搜寻得到最优解,将QR码从图像中提取出来。实验证明,该方法简单有效,可用于拓宽QR码的使用范围。A new algorithm to extract QR code while position detection pattern is contaminated in acquisition is presented. Firstly,an improved mode! for QR code pattern recognition is given, and then the Team Progress Algorithm（TPA） is employed in QR code pattern recognition.The TPA divides team members into elite and plain groups.The optimization can be got after the action of learning,exploring and member renewal rules.It is showed by experiments that the method is simple and effective,which can be used to improve QR code recognition precision rate.

关 键 词：QR码 图像识别 团队进步 全局优化 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]