摘要
针对拍摄的PDF417二维条码图像的特点,研究了相应的识别方法.利用梯度特征并结合数学形态学的方法,给出了一种复杂背景下条码图像的定位方法,该方法能准确地从复杂背景中分割出条码图像.对于拍摄的非线性几何失真条码图像,采用分块校正方法有效解决了图像的几何畸变校正问题.给出了一种基于投影算法的条空序列识别方法,该方法可适用于受噪声及模糊等因素影响的图像.实验结果表明,提出的识别方法可以有效识别拍摄的PDF417二维条码图像.
Methods of recognizing PDF417 two-dimensional barcode captured by camera are discussed. An approach for localization of barcode according to gradient and morphological mathematics is proposed, that can detect the barcode from complex background correctly. Block rectification based on bilinear transformation is then given. For those non-linear distorted images, the rectification algorithm corrects geometric distortion effectively. A recognition algorithm of bar-space based on projective algorithm is proposed to recognize the symbol character, which solves the recognition-error problems caused by noise and illegibility. The result showed that the method con effectively recognize PDF417 two-dimensional barcode captured by camera.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2008年第12期1088-1092,共5页
Transactions of Beijing Institute of Technology
关键词
二维条码
PDF417条码
条码定位
几何畸变校正
条空序列识别投影算法
two-dimensional barcode
PDF417 barcode
bareode localization
geometric distortion correction
recognition algorithm of bar-space based on projection algorithm
