新型自适应字符检测系统研究

目的 为解决现有字符检测系统出错率高、自适应能力较差的问题，提出一种新型自适应字符检测系统。方法 针对某国内大型方便面生产企业产品研发生产批号检测系统过程中，遇到的光照变化和多种产品规格变化对图像采集质量的影响问题，分别提出相应的自适应解决方案；通过改进局部阈值算法，增强算法鲁棒性，并进一步提出基于实时采集图像的自适应采集矫正算法。结果 通过实验测试和现场验证，该检测系统的自适应能力和鲁棒性较强，检测速度为10个/s，误剔率小于0.005%，漏剔率为0。结论 该系统具有较强适应性，相比传统字符检测系统更加稳定可靠，具有良好的应用前景。

New Adaptive Character Detection System

The work aims to propose a new adaptive character detection system to solve the problems of high error rate and poor adaptive ability of existing character detection system. In view of the influence of illumination change and variety of product specifications on the quality of image acquisition in the process of product development and production lot number detection system of a large instant noodle manufacturer in China, the corresponding adaptive solutions were proposed respectively. By improving the local threshold algorithm, the robustness of the algorithm was enhanced, and the adaptive acquisition and correction algorithm based on real-time image acquisition was further proposed. Through the experimental test and field verification, the detection system had strong adaptability and robustness, the detection speed was 10 pcs/s, the error rejection rate was less than 0.005%, and the missing rejection rate was 0. The system is more stable and reliable than the traditional character detection system, and has a good application prospect.