基于拍摄图像的PDF417条码识别

Recognition of PDF417 Barcode Based on Captured Images

  • 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.

     

    Abstract: 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.

     

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