【作者】 何红庄；

【导师】 范永法；

【作者基本信息】 河海大学 ， 机械电子工程， 2003， 硕士

【摘要】 以图像处理技术实现条码译码系统是目前条码技术的研究热点。本文首先介绍了条码和条码技术，并叙述了与译码系统相关的数字图像处理识别的内容和方法。在简介条码识别系统的组成及工作原理的基础上，作者针对条码图像摄入过程中可能遇到的种种情况，以矩不变为特征的模式识别理论为依据，结合矩阵分割和其他数字图像处理技术，开发出不仅能对轻度污染与残缺的条码进行识读，而且能对任意角度有畸变的条码图像进行快速识别的一维条码译码系统。利用“层”的概念，构建了Code 128二维条码，并研制了基于图像模式的二维条码译码系统。本文的许多创新之举，均取得了良好的实验效果，具有一定的理论价值及实际应用价值。更多还原

【Abstract】 Using Image Processing to implement the decoding system of bar code identification is a hotspot in the barcode technique research fields. Firstly, this paper introduces the bar code technique and the methods and contents of Digital Image Processing related to the decoding system. On the basis of formation and operation principles of the bar code identification system , the author has studied the moment-invariants theory of pattern recognition, and combined the other image processing techniques, then developed a bar code identification system which can recognize not only the lightly contaminated and incomplete bar code but also the distorted bar code with arbitrarily angle. Using the idea of the layers, the author has consteructed a kind of two dimension barcode , and developed the identification system for it. The innovations in this paper, have been proved by the lab test, have certain theoretical and practical value.更多还原