二维码编解码技术的研究与应用
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摘要
条码技术是一种融编码、印刷、数据采集和处理于一体的自动识别技术,条码又分为一维码和二维码,二维码除了具备一维码成本低、传播方便等优点外,还具有信息容量大、可靠性高、可表示多种形式数据、保密防伪性强等优点。论文首先通过分析多种二维码编码标准,总结了二维码编码技术的一般步骤,并对编码过程中的数据编码技术、纠错码生成和掩模技术进行详细分析。然后分析了基于图像处理的二维码解码算法的一般过程,并对图像预处理、二维码的定位与校正以及数据纠错过程中涉及到的关键算法进行分析比较。针对快速响应矩阵码(QR code),详细设计基于图像处理的QR码解码算法,为了降低算法复杂度并提高识别效率,改进了二维码图像的二值化算法和QR码定位算法,并对算法改进后的执行效率以及容错性能进行分析,结合算法执行时间分析结果对关键算法进行优化。实验结果表明,改进的QR码解码算法执行效率较高而且稳定,并且在光照不均、存在噪声以及图像变形等情况下均可以正确解码。随后针对二维码的应用特点,设计基于嵌入式的QR码识别系统,为了简化图像采集流程并精简系统,详细设计了基于S3C2440和OV7620的图像采集子系统。最后利用天嵌科技的TQ2440开发平台实现基于嵌入式的QR码识别系统,完成实时图像采集、循环接收用户解码请求、解码并返回结果等功能。
Barcode technology is an automatic identification technology that is consist of coding, printing, data acquisition and processing. Barcode can be divided into one-dimensional(1D) barcode and two-dimensional(2D) barcode,1D barcode has a lot of advantages, such as low cost and easy communication, while 2D barcode has large information capacity, high reliability, ability to express various forms of data, strong security, etc. Firstly, by analyzing multiple 2D barcode standards, summarize the general procedure of encoding technology, and detailed analyze the data coding technology, error correcting code generation method and mask technology. Secondly, analyze the 2D barcode decoding algorithm that is based on image processing, compare the different algorithms in the process of image pre-processing, positioning & adjustment and data correction. Then detailed design the decoding algorithm for QR code, improve the binarization algorithm for 2D barcode image and QR code positioning algorithm, and analyze the efficiency and fault tolerance of the improved QR code decoding algorithm. By analyzing the execution time of the decoding algorithm, find and optimize the key algorithms. The experimental results show that the improved QR code decoding algorithm is efficient and stable, and can identify the QR code image uneven illumination, with noise or deformation. Thirdly, design an embedded QR code recognition system in view of the specific application of 2D barcode. To simplify the process of image acquisition and the recognition system, design the image acquisition sub-system based on S3C2440 and OV7620 in detail. Finally, realize the embedded QR code recognition system on TQ2440, complete the function of real-time image acquisition, loop receiving user request for decoding, decoding with the result returned and some others.
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