An Efficient Bar Code Image Recognition Algorithm for Sorting System

In the sorting system of the production line,the object movement,fixed angle of view,light intensity and other reasons lead to obscure blurred images.It results in bar code recognition rate being low and real time being poor.Aiming at the above problems,a progressive bar code compressed recognition algorithm is proposed.First,assuming that the source image is not tilted,use the direct recognition method to quickly identify the compressed source image.Failure indicates that the compression ratio is improper or the image is skewed.Then,the source image is enhanced to identify the source image directly.Finally,the inclination of the compressed image is detected by the barcode region recognition method and the source image is corrected to locate the barcode information in the barcode region recognition image.The results of multitype image experiments show that the proposed method is improved by 5+times computational efficiency compared with the former methods,and can recognize fuzzy images better.

Contrast and Comparison Between the Old and New Bar Code for Commodity Management Measures

With the development of socialism market economy, the former Bar Code ForCommodity Management Measures (being called Old Measures for short hereafter) issued by the NationalBureau of Quality and Technical Supervision can not adapt to the requirement of managing for barcode for commodity. Therefore, for the purpose of standardize bar code for commodity managementstandard, ensuring its quality, speeding up the application of it in electronic business andcirculating field and accelerating the course of being a well informed country, a new Bar Code ForCommodity Management Measures (New Measures for short) has been issued by the General Administratorof Quality Supervision, Inspection and Quarantine of P.R. China (AQSIQ) on May 30th, 2005, and putinto force in October, 2005. At the same time, the Old Measures issued on July 3rd, 1998 has beenabolished.

Solid Warehouse Material Management System Based on ERP and Bar Code Technology

This paper presents a manufacturing mat er ial management system based on ERP, which is combined with industrial bar code i nformation collection and material management, and carries out extensive researc h on the system structure and function model, as well as a detailed application scheme.

An Amorphous 2-Dimensional Barcode

Most existing 2-dimensional barcodes are designed with a fixed shape and clear area.Having a fixed shape and clear area makes the barcode difficult to lay out with other text and pictures.To solve this problem,an amorphous 2-dimensional barcode is presented in this paper.The barcode uses encoding graph units to encode data.There are two key points in a 2-dimensional barcode:One is the encoding graph unit,the other is its encoding rules.Because encoding graph units of a 2-dimensional barcode are surrounded by other graphics,the units should be self-positioned and distinguished from other units.This paper presents an encoding graph unit generation algorithm,which is based on genetic algorithms.Encoding rules of the barcode are also given in this paper.Those rules include data encoding rules and encoding graph unit sequence arrangement rules.Data encoding rules are used to encode data to an encoding graph unit sequence.Encoding graph unit sequence arrangement rules are used to embed the unit sequence in the target picture.In addition to those rules,it also discussed the steps to restore encoding graph unit sequence from a picture.In the experiments section of this paper,an example is provided to encode a string and embed it in a car ad picture by the barcode.According to encoding rules of the barcode,those encoding graphic units can be scattered and embedded in a picture with other graphics,so amorphous 2-dimensional barcode has no fixed shape.Take advantage of this,designer can present a more elegant design to lay out barcodes with other graphic elements.

工业控制环境中QR Code的检测和识别算法

以QR Code为例,研究工业控制环境中的二维条码检测和识别技术.首先针对光照不均,利用Retinex理论,处理光照校正.然后根据QR Code条码的特征,提出了基于边缘信息的二值分割算法,并设计了一种快速定位算法.接着分析了条码图像经过高斯函数模糊的数学模型,求解高斯函数方差,并给出了利用逆滤波对条码图像进行反模糊复原的算法.实验结果表明文中提出的算法具有较好的稳定性和时间复杂度,能在复杂的背景中有效地检测定位条码,并显著地提高了条码的识别率,满足了工业控制环境使用的要求.

QR Code二维条形码的图像识别

在现代社会商品流通中,为了提高工作效率,条码识别技术得到了广泛的应用。一维条码受到容量的限制,仅能标识商品,而不能描述商品。二维条码解决了一维条码面临的容量问题,具有信息量大、可靠性高、保密防伪等优点。文中介绍了QR Code二维条形码的技术,给出了基于数字图像处理的QR Code二维条形码的识别方案。该方案综合运用了图像灰度化、二值化、去噪、边缘检测、图像旋转等多种图像处理方法实现条码图像的预处理、条码定位、条码分割和数据提取。实验表明:该方案大大提高了识读的灵活性和可靠性。

基于J2ME的QR Code条码识别系统

提出了一个适合于嵌入式系统的QR Code条码识别算法,采用J2ME技术实现了二维条码识别系统。通过QR Code条码的寻像图形以条码寻像图形对条码定位,利用多级阈值化算法对条码二值化,采用反透视变换算法和双线性插值算法矫正失真条码,有效地解决了条码符号因光线不均、失真变形带来的识别问题。

图书馆常用条形码CODE39的打印设计及实现

目前图书馆自动化系统中条形码多采用 39码 ,文章介绍了 39码的编码原理及特点 ,打印设计方法及简短的VisualC + +程序代码。

应用BarTender软件打印标识管理患者管道

目的制作更规范清晰的标识管理患者管道,从而快速分辨管道类别、作用、判断引流液性质正常与否等情况,提升患者管道安全管理。方法利用Bar Tender软件进行标识格式创建,通过条码打印机,快速打印出各种管道标识,绕管道合适位置粘贴即可。结果 Bar Tender软件设计打印制作的管道标识可以更高效、准确、清晰地标记患者留置管道,有效避免书写造成字迹模糊,难辨认的情况。结论利用Bar Tender软件设计打印制作的管道标识,能更好地协助医护人员对管道进行辨识和交接等管理。

基于VC++的QR Code条码编程实现

分析了QR Code二维条码的特点、结构和编码原理,以字母数字模式为例实现QR Code的编码、纠错、掩码等功能。采用VC++编程环境,按照面向对象设计思想,设计实现了用于绘制QR Code码的CQRCodeVCView类,对其他二维条码编程实现具有一定的通用性。经过程序测试,生成的条码符合误差标准,能够使用扫描器准确识读。将此程序设计模块集成到物流信息系统和供应链管理软件中,可以增强条码识读便捷性,缩短物流信息系统开发周期。

图书馆常用条形码Code 39的编码原理及打印设计

Code 39条形码广泛应用在图书馆自动化管理系统中。介绍了39条形码的编码原理,提出了一种基于ActiveX技术的39条形码打印设计方法,设计了一个39条形码打印控件并给出了Visual C++的实现代码,演示了该控件的使用方法。

快速识读QRCode码

QR Code码除了具有其他二维条码的优点以外 ,还可超高速全方位识读 ,并有效表示汉字。介绍了二维条码 QR Code码的特点、编码和译码方法。该 QR

基于QR Code条码的飞机加油统计系统

本文介绍了QR Code条码技术,结合我军飞机油料保障特点,制定了飞机加油统计系统的可行方案。并基于QR Code条码技术设计了飞机加油统计系统的硬件和软件系统,经实际运行,系统稳定可靠,提高了油料保障效益。

Predicting a novel pathogenicity island in Helicobacter pylori by genomic barcoding

AIM:To apply a new,integrated technique for visualizing bacterial genomes to identify novel pathogenicity islands in Helicobacter pylori(H.pylori).METHODS:A genomic barcode imaging method(converting frequency matrices to grey-scale levels)was designed to visually distinguish origin-specific genomic regions in H.pylori.The complete genome sequences of the six H.pylori strains published in the National Center for Biotechnological Information prokaryotic genome database were scanned,and compared to the genome barcodes of Escherichia coli(E.coli)O157:H7 strain EDL933 and a random nucleotide sequence.The following criteria were applied to identify potential pathogenicity islands(PAIs):(1)barcode distance distinct from that of the general background;(2)length greater than 10000 continuous base pairs;and(3)containing genes with known virulence-related functions(as determined by PfamScan and Blast2GO).RESULTS:Comparison of the barcode images generated for the 26695,HPAG1,J99,Shi470,G27 and P12 H.pylori genomes with those for the E.coli and random sequence controls revealed that H.pylori genomes contained fewer anomalous regions.Among the H.pylorispecific continuous anomalous regions(longer than 20 kbp in each strain's genome),two fit the criteria for identifying candidate PAIs.The bioinformatic-based functional analyses revealed that one of the two anomalous regions was the known pathogenicity island cag PAI,this finding also served as proof-of-principle for the utility of the genomic barcoding approach for identifying PAIs,and characterized the other as a novel PAI,which was designated as tfs3-PAI.Furthermore,the cag-PAI and tfs3-PAI harbored genes encoding type IV secretion system proteins and were predicted to have potential for functional synergy.CONCLUSION:Genomic barcode imaging represents an effective bioinformatic-based approach for scanning bacterial genomes,such as H.pylori,to identify candidate PAIs.

生物化学与分子生物学教学实验室精细化管理的探索与实践

生物化学与分子生物学教学实验室是培养学生基本实验技能和科研实践能力的重要场所,其管理水平直接影响着实验教学的教学质量和教学效率。浙江大学基础医学教学实验中心充分利用网络优势,以人为核心,建立多个线上教学管理平台,同时利用二维码对学科细节进行优化管理,为实验教学线下资源转化为数字化、信息化、精细化管理提供了新途径;另外,对实验耗材、生化固废、玻璃容器等的常规管理进行了细节优化,也为实验室优化管理和创新教学积累了宝贵经验。

基于DNA条形码ITS对西藏不同地理居群红景天的鉴定研究

目的:对大花红景天和长鞭红景天进行2种DNA条形码的碱基序列分析,并构建系统进化树,为大花红景天的真伪鉴定提供参考。方法:提取3份样品基因组DNA,对内转录间隔区(internal transcribed spacer,ITS)片段进行PCR扩增,双向测序,获得其序列信息;运用MEGA7.0对所有样品的ITS序列及GenBank共21条进行比对、计算种内种间遗传距离,构建Neighbor-Joining(NJ)系统进化树。结果:编号为A1~A14的大花红景天聚为一支,编号为K1~K7的长鞭红景天聚为一支;同时发现ITS序列信息变化与地域和环境明显相关。结论:将ITS序列作为DNA条形码能准确、快速地鉴别大花红景天,可为其种质资源鉴定及物种鉴别提供依据。

二维码识别技术在手术室设备中的追踪管理及应用

目的提出基于二维码识别的手术室设备管理追踪方法,通过减少信息存储的滞后,准确追踪到手术室设备应用状态及历史记录,以提升手术室设备的使用效率。方法首先通过光电扫描仪扫描手术室设备的二维码,并将其通过互联网Web服务器传输到服务器。然后,利用超带宽法存储二维码信息数据,并利用存储的信息,实现手术室新、旧设备质量的向前追踪和向后追踪。最后,将追踪信息反馈到客户端,提供设备分析依据。结果超宽带存储方法可以减少信息存储的滞后,当数据达到450万个时,延时约为270 ms。本文方法可有效追踪每个手术室内正在应用的设备,也能够准确追踪手术室设备从采购、使用、维修、售后等过程,并对其实现记录。结论该方法不仅提升了手术室设备的使用效率,还为设备的采购、使用、维修和售后服务等全过程管理提供了详实的数据支持,有助于医疗机构优化资源配置,提高手术室运营的整体效能。

可变二维码印制要点研究

为了提升可变二维码的首读率,提高数据共享效率,更好地发挥可变二维码数据共享中的作用,特开展可变二维码印制质量研究。本文采用试验分析法,研究可变二维码生成软件参数设置、承印基材表面处理技术要求、喷印设备控制对其质量等级的影响。确定了可变二维码印制前承印材料预处理应达到的要求,承印材料光学特性参数不透明度、符号反差、最小边缘反差预测值。通过优化可变二维码设计、严格承印材料表面处理和控制喷码过程,可有效提升可变二维码印制质量。

基于Halcon的机器视觉订单录入系统设计与实现

随着现代制造业的快速发展,订单录入成为生产流程中不可或缺的一个环节,对于提高生产效率和确保数据准确性具有重要意义。然而,传统的订单录入方式通常依赖人工操作,存在工作量大、错误率高等问题。为了解决这些问题,文章引入了Halcon机器视觉技术,通过自动处理与识别订单图片上的条形码,快速准确地获取订单号,并借助EF实体框架对数据库中的相关数据进行更新。该系统能够有效弥补传统订单录入方式存在的缺陷,提高生产效率和数据准确性,具有较高的应用价值和推广前景。

基于物联网技术的河蟹质量安全数字化控制平台研发

河蟹产业的质量安全是从“池塘到餐桌”的质量安全,涉及养殖、运输和销售等不同环节,每个环节都存在消费者关心的质量安全问题。运用数字化技术管理各环节关键信息或消费者关注信息,能有效监管河蟹产业发展,也能帮助消除消费者的信任危机。该研究基于物联网技术、二维码技术和5G技术,研发河蟹质量安全数字化控制平台,管理苗种、投饵、捕捞、水体水质和健康生态等养殖相关数据,采集捕捞、运输和销售数据,消费者通过扫描二维码,可查看养殖全过程数据、运输和销售等信息,并实时监督养殖环境,增强消费者的消费信心。