基于波形分析的彩色QR码识别

彩色QR码在RGB空间存在不同灰度级别的码块,采集过程中受到点扩展函数的影响,导致相邻码块间串扰严重。为了消除相邻码块的干扰,提出了一种基于波形分析的彩色条码信号恢复算法,并结合QR码采样网格,对条码进行识别。首先通过定位图形确定采样网格,分割单行条码,然后通过横向脉冲扫描建立单行条码的波形,通过波形分析对高斯点扩展函数的方差进行估计,并对抽样信号进行反卷积,完成识别。实验表明本算法对彩色QR条码的识别准确迅速,对推动彩色条码的应用起到了一定的作用。

Color QR code recognition based on waveform analysis

Color QR codes have different gray level code blocks in RGB space, which are affected by the point spread function in the process of acquisition, which leads to serious crosstalk between adjacent blocks. In order to eliminate the interference of adjacent blocks, a color bar signal recovery algorithm based on waveform analysis is proposed, which is combined with the sampling grid of QR code to identify the bar code. First through the graphic positioning determine sampling grid, single bar code segmentation. Then through horizontal pulse scanning a single barcode waveform, by waveform analysis of Gaussian expansion function of the variance is estimated, and the sampling signal deconvolution, to complete the identification. Experiments show that this algorithm is accurate and rapid for the color QR bar code recognition, and it plays a certain role in promoting the application of the color bar code.