In general condition, QR code often encounters uneven illumination, complex background, contamination and deformation for the reason of the impact on the image acquisition process to make that it is difficult to identify to them in later period and to compare with the recognition results of OR code in the team progress algorithm and genetic algorithm. After that, QR code recognition platform is established to achieve the powerful image and graphic display processing function and to save Visual C++ coding time by using the team genetic algorithm and mixed programming of Matlab and Visual C++ in the article. The experimental results demonstrate the validity of QR code decoding algorithm proposed in the article and the experimental results also demonstrate the feasibility of the design scheme of the embedded QR code recognition system platform proposed in the article.
展开▼
机译：在一般情况下，由于影响图像采集过程的原因，QR码经常会遇到光照不均匀，背景复杂，污染和变形的问题，使得以后很难对其进行识别并难以与OR的识别结果进行比较。团队进度算法和遗传算法中的代码。之后，本文建立了二维码识别平台，以实现强大的图像和图形显示处理功能，并利用团队遗传算法以及Matlab和Visual C ++的混合编程，节省了Visual C ++的编码时间。实验结果证明了本文提出的QR码解码算法的有效性，实验结果也证明了本文提出的嵌入式QR码识别系统平台设计方案的可行性。
展开▼
