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数字图像处理是近几年研究的一个热点，其发展与广泛应用进一步提高了自动化的程度。本文首先介绍了数字图像处理的主要方法及主要内容，并简要介绍了数字图像处理系统的组成及其工作原理，综合考虑了条码位图处理过程中可能遇到的各种噪声，并依此确定了开发条码图像处理及识别应用软件的数字图像处理算法。最后重点介绍了开发条码图像处理及识别应用软件的实现方法，并给出了软件的测试结果。该软件可以对有较严重噪声的条码位图进行处理，从而实现对不完整条码位图的识别，这是普通条码识别软件无法实现的。将数字图像处理技术应用于条码识别领域是本课题的创新之处，具有一定的理论价值及实际应用价值。 Digital Image Processing is one of hot research fields in recent years，its developmentand wide application enhance the level of automation．Firstly, this paper introduces mainmethods and contents of Digital Image Processing，and briefly introduces the componentsand mechanism of the system of Digital Image Processing，various cases of noisesappearing in the progress of processing barcode images are taken into account synthetically,on which the algorithms of developing the application softWare for processing andidentification of barcode image are made certain．Finally, this paper mainly introduces themethods of developing the application software for processing and identification of barcodeimage，and the result of this softWare is shown．This software can process barcode imageswith serious noises and identify them，which average software for identifying barcode cannot complete．The aplication of the technology of Digital Image Processing toidentification barcode is the innovation of this paper, which has certain theoretical andpractical value．