精品文档---下载后可任意编辑PDF417 条码识别技术讨论的开题报告【摘要】PDF417 条码是一种二维条码，具有存储信息量大、错误纠正能力强等优点。本文讨论 PDF417 条码的识别技术，分析了其识别过程中的关键技术和难点，包括图像预处理、条码定位、提取和识别等方面。针对这些问题，本文提出了相应的解决方案，如基于滤波和二值化的图像预处理方案、基于边缘检测和形态学的条码定位算法、利用分割算法提取条码模块信息的方案以及基于模板匹配和级联分类器的识别方法等。最后，通过实验验证了本文提出的方法在 PDF417 条码的实际识别中具有较高的准确率和鲁棒性。【关键词】PDF417 条码；识别技术；图像处理；模板匹配；分类器【Abstract】PDF417 barcode is a two-dimensional barcode with advantages of large information storage and strong error correction ability. In this paper, we study the recognition technology of PDF417 barcode, analyze the key technologies and difficulties in the recognition process, including image preprocessing, barcode localization, extraction and recognition. We propose corresponding solutions for these problems, such as image preprocessing based on filtering and binarization, barcode localization algorithm based on edge detection and morphology, module information extraction scheme based on segmentation algorithm, and recognition method based on template matching and cascade classifier. Finally, the proposed methods are verified by experiments, which show high accuracy and robustness in the actual recognition of PDF417 barcode.【Keywords】PDF417 barcode; recognition technology; image processing; template matching; classifier
