一种QR码识别的低复杂度图像预处理方法

QR(Quick Response)码是一种常见的二维条形码,图像预处理是实现复杂条件下QR码图像自动识别的重要步骤.为了降低QR码使用门槛,提出了一种实用的低复杂度QR码识别图像预处理算法,它可以提高解码器识别速率,便于算法嵌入移动终端.由于没有使用传统的边缘检测和直线检测手段,而是依据QR码自身编码特点进行探测定位,所以几何失真、背景噪声对其影响较小;此外,为提高了QR码的识别率,采用结合校正图形并按区域自适应取样的方法来生成码流.实验结果表明,该算法可以克服QR码识别过程中易受噪声干扰、光照不均和几何失真等影响,并能满足实时解码的要求.

A Low-complexity Image Pre-processing for Quick Response Barcode Recognition

Quick Response(QR) barcode is a quite common two dimensional barcode.Image preprocessing is a key step for the automatic recognition of QR barcode decoder.In order to lower the used threshold,apractical image preprocessing method was proposed for QR barcode recognition.It could increase the speed of recognition by this decoder so as to embed this algorithm into mobile terminals.It didn ’t utilize the traditional methods such as edge detection and line detection,but only the encoding characteristic of QR to locate,thus the influence of geometric distortion and background noise was reduced.Moreover,in order to improve the recognition rate,it used the rectification images to adaptively sample the QR code in terms of regions.Experiment results demonstrate that the proposed approach can overcome the influence of noise,inhomogeneous light and geometric distortion,and meet the requirements of real-time decoding.