CAJ | 학술논문

QR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码解码器自动识别的重要步骤．在传统的直线检测和边缘检测手段的基础上，提出了一种新的QR码识别图像预处理方法．该方法通过使用校正图形按区域自适应取样来生成码流，可显著提高QR码的识别率．此外，还对QR码识别软件的手机平台移植进行了讨论．实验结果表明，本算法识别速度快，且可以克服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的问题．
QR마시일충상견적이유조형마，도상예처리시실현복잡조건하QR마해마기자동식별적중요보취．재전통적직선검측화변연검측수단적기출상，제출료일충신적QR마식별도상예처리방법．해방법통과사용교정도형안구역자괄응취양래생성마류，가현저제고QR마적식별솔．차외，환대QR마식별연건적수궤평태이식진행료토론．실험결과표명，본산법식별속도쾌，차가이극복QR마식별과정중역수조성간우、광조불균화궤하실진등영향적문제．
Quick response (QR) barcode is a quite common two dimensional barcode. Image preprocessing is a key step for the automatic recognition by QR barcode decoder. In this paper, a practical image prepro- cessing method is proposed for QR barcode recognition, in which the rectification image is used to adap- tively sample the barcode in terms of regions. So the recognition rate can be greatly improved. Experimen- tal results demonstrate that the proposed approach can overcome the influence by noise, inhomogeneous light and geometric distortion.