用于农产品质量追溯系统的汉信码编译码引擎  

Chinese-sensible code encoding and decoding engine for agricultural product quality traceability system

作　　者：丁永军[1,2,3] 杨信廷[2] 张景春[1] 孙传恒[2] 钱建平[2] 吉增涛[2] 

机构地区：[1]兰州大学信息科学与工程学院,兰州730000 [2]国家农业信息化工程技术研究中心,北京100097 [3]兰州城市学院计算机科学系,兰州730070

出　　处：《农业工程学报》2008年第S2期161-165,共5页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家863计划项目(2006AA10Z265)

摘　　要：作为数据载体的条形码自动识别技术能有效地实现物流与信息流的同步,解决农产品质量安全追溯的核心问题。为了降低追溯系统的使用成本、增加信息流容量,在深入研究汉信码国家标准的基础上,提出了一种通用的校正图形绘制方法,改进了4版本以上汉信码符号建立取样网格的算法,突破了混合编码优化、RS纠错编码、位置探测图形中点提取等关键技术,并基于NET2.0平台实现了汉信码编译码引擎。实验证明算法可行、可靠,生成的引擎高速、准确。The automatic identification technology of barcode as data carrier can realize the synchronization of both logistic distribution and information flow effectively and solve the key technology of the agricultural product quality traceability system.To decrease the cost of traceability system and increase the capacity of information,a universal alignment pattern method was proposed based on a thorough study of national standard of Chinese-sensible code,an algorithm of sampling grid above the 4th version was improved,the key technologies were broken through,such as mixed encoding,RS error correcting and midpoint extracting of detection pattern,and a Chinese-sensible code encoding and decoding engine was set up by NET 2.0 platform.The results show that the proposed algorithm can perform feasibly and reliably,and the generated engine has high speed and accuracy.

关 键 词：汉信码 追溯系统 农产品 编码 解码 校正图形 采样网格 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]