模式识别在集装箱物流管理中的应用
摘要
现代商品运输中，集装箱得到广泛使用，形成了包含铁路、公路以及海运的一个完整物流体系。为了实现对集装箱运输的自动化管理，关键技术在于计算机对其编号的实时识别。本课题在Visual C++6.0编程平台上开发了一个基于SQL Server 2000数据库的集装箱编号自动识别及管理软件系统，包含编号定位、字符识别、数据库功能等三个模块。工作流程是根据现场采集到的包含集装箱编号的图像，将编号区域检测并分割出来，经过图像增强、图像二值化、字符分割等操作，将字符图像与系统中内建的字符模板进行匹配，根据计算得到的相似度实现对字符的识别，然后将识别结果与报关单中的集装箱编号进行核对，并连接数据库，检索该集装箱相关信息，完成相应的数据库操作。本课题的难点在于模板匹配，在算法上作者尽量找到提高识别率与提高识别速度这两个标准的契合点，达到了较好的识别效果，较以往采用神经网络方法的同类软件有很大改善。
Today container transport is widely used, and it has come into being a logistics system, including railway, road and sea transport. The key technology of automatization of container administration is to realize the real time recognition of container characters by computer. In the paper, we design a system which can not only recognize container characters on real time but also administrate container transport. The system includes character location module, character recognition module and database module. The flow of computer program is as follows: first, characters area will be located in the picture which contains the container and be segmented from it; second, after some operations such as image processing, binarization and character segment, the character image will be matched with the template which has been built in the system, then the character can be recognized according to the similitude; last, we can access database of container information according its character. The difficulty of the paper is template matching. We have find a method
to increase recognition efficiency and to decrease time. As for the shortcoming of details and limitation of the software, I believe they should be resolved later.
Today container transport is widely used, and it has come into being a logistics system, including railway, road and sea transport. The key technology of automatization of container administration is to realize the real time recognition of container characters by computer. In the paper, we design a system which can not only recognize container characters on real time but also administrate container transport. The system includes character location module, character recognition module and database module. The flow of computer program is as follows: first, characters area will be located in the picture which contains the container and be segmented from it; second, after some operations such as image processing, binarization and character segment, the character image will be matched with the template which has been built in the system, then the character can be recognized according to the similitude; last, we can access database of container information according its character. The difficulty of the paper is template matching. We have find a method
to increase recognition efficiency and to decrease time. As for the shortcoming of details and limitation of the software, I believe they should be resolved later.
引文
[1] 孙国正，王少梅，张艳伟．港口集装箱物流技术的发展．港口装卸．2003(1)
[2] 毛寿松．运输包装器具设计与使用．北京：中国商业出版社，1992
[3] 杨靳．集装箱运输市场经济分析．世界海运．2002(2)
[4] 中华人民共和国国家标准．GB／T 1996
[5] 胡家忠．计算机文字识别技术．北京．气象出版社，1994
[6] 杨光正，吴岷，张晓莉．模式识别．合肥：中国科学技术大学出版社，2001
[7] 边肇祺．模式识别．北京：清华大学出版社，1988
[8] Darwiche .E, Pandya, A.S.Mandalia.. Automated optical recognition of degraded characters[J]. SPIE, 1992,1661:27—32
[9] 戚飞虎(译)．模式识别与图像处理．上海：上海交通大学出版社，1989
[10] 罗耀先，盛立东．模式识别．北京：人民邮电出版社，1989
[11] 王新成．高级图像处理技术．北京：中国科学技术出版社，2001
[12] 赵海涛，於东军，金忠，杨静宇．基于特征选择的字符识别．计算机工程与应用．2002(21)
[13] Nelson M. The data compression book [M]. San Mates, CA:M and T Books, 1992
[14] 郁梅．基于视觉的车辆牌照检测．计算机应用研究．1995(5)
[15] 孙仲康，沈振康．数字图像处理及其应用．北京：国防工业出版社，1985
[16] 沈青，汤霖．模式识别导论．长沙：国防科技大学出版社，1985
[17] 郭晓松，孔祥玉，杨毕武．基于连通域的模板匹配法用于字符识别的研究．计算机工程与应用。2002(12)
[18] 郑南宁．计算机视觉与模式识别．北京：国防工业出版社，1985
[19] 李佐，王株华，蔡士杰．基于特征选择的字符识别．计算机工程与应用．2002(13)
[20] Huang Xian-wu. Wang Jia-jun, Li Jia-hua.. Digital image processing and compress coding technology (M).. Chengdu:University of Electronic Science and Technology Press. 2002(12)
[21] Li Jie-gu, Cai Guo-lian.. Computer pattern recognition technology (M) . Shanghai: Shanghai Jiaotong University Press 1986(2)
[22] 徐全生，于霞，梁东彬．汽车牌照图像的预处理研究．沈阳工业大学学报．2002(4)
[23] 叶晨洲，廖金周，梅帆．车辆牌照字符识别系统．计算机系统应用．1995(5)
[24] 郭军，马跃，盛立东，马义信．发展中的文字识别理论与技术．电子学报．1995(10)
[25] 张引，潘云鹤．面向车辆牌照字符识别的预处理算法．计算机应用研究．1999(9)
[26] 傅京孙．模式识别应用．北京：北京大学出版社．1988
[27] 张伟，王庆，赵荣椿汽车牌照的实时识别．信号处理．2000(12)
[28] Zheng Nan-ning,. Zhang Xi-ning. The license plate recognition system of running ear (j). Journal of Xian Jiaotong Unversity. 1991.25(1):43～54
[29] 阎建国，高亮，卢京潮．图像处理技术在车牌识别中的应用．电子技术应用．2000(1)
[30] 魏武，张起森，王明俊，黄中祥．一种基于模板匹配的车牌识
别方法．中国公路学报．2000(1)
[31] 吕岳．邮政编码数字识别系统的设计与实现．计算机工程与应用．1999(6)
[32] 魏君．集装箱编号智能识别系统的研究[硕士论文]．西安理工大学．
[33] 王积分，张新荣．计算机图像识别．北京：中国铁道出版社．1988
[34] SETCHEL L C J. Applications of computer vision to road-traffic monitoring, Ph. D. thesis[D]. England: University of Bristol, Faculty of Engineering, Department of Electrical and Electronic Engineering,1997.60—79
[35] 李介谷，蔡国廉．计算机模式识别技术．上海：上海交通大学出版社．1986
[36] 叶芗芸，戚飞虎，吴建渊．文本图像的快速二值化方法．红外与毫米波学报．1997(10)
[37] 容观澳．计算机图像处理．北京：清华大学出版社．2002
[38] Zhao Ming-sheng , Bao Cong-xiao. Operation and applying prospect of the CLPR technology using in traffic project and city safety (M). Beijing People Traffic Press. 1997
[39] 王润生．图像理解．国防科技大学出版社．1995
[40] Berenji Dr H R, Vengerov D. Learning, Cooperation, and Coordination in Multi-agent Systems. Intelligent Inference Systems Corp. Technical Report IIS-OO-10,2000-10
[41] 杨冬青，唐世渭(译)．数据库系统概念．北京：机械工业出 版社．2002
[42] 袁鹏飞．SQL Server 7.0 数据库系统管理与应用开发．北京：人民邮电出版社．1999
[2] 毛寿松．运输包装器具设计与使用．北京：中国商业出版社，1992
[3] 杨靳．集装箱运输市场经济分析．世界海运．2002(2)
[4] 中华人民共和国国家标准．GB／T 1996
[5] 胡家忠．计算机文字识别技术．北京．气象出版社，1994
[6] 杨光正，吴岷，张晓莉．模式识别．合肥：中国科学技术大学出版社，2001
[7] 边肇祺．模式识别．北京：清华大学出版社，1988
[8] Darwiche .E, Pandya, A.S.Mandalia.. Automated optical recognition of degraded characters[J]. SPIE, 1992,1661:27—32
[9] 戚飞虎(译)．模式识别与图像处理．上海：上海交通大学出版社，1989
[10] 罗耀先，盛立东．模式识别．北京：人民邮电出版社，1989
[11] 王新成．高级图像处理技术．北京：中国科学技术出版社，2001
[12] 赵海涛，於东军，金忠，杨静宇．基于特征选择的字符识别．计算机工程与应用．2002(21)
[13] Nelson M. The data compression book [M]. San Mates, CA:M and T Books, 1992
[14] 郁梅．基于视觉的车辆牌照检测．计算机应用研究．1995(5)
[15] 孙仲康，沈振康．数字图像处理及其应用．北京：国防工业出版社，1985
[16] 沈青，汤霖．模式识别导论．长沙：国防科技大学出版社，1985
[17] 郭晓松，孔祥玉，杨毕武．基于连通域的模板匹配法用于字符识别的研究．计算机工程与应用。2002(12)
[18] 郑南宁．计算机视觉与模式识别．北京：国防工业出版社，1985
[19] 李佐，王株华，蔡士杰．基于特征选择的字符识别．计算机工程与应用．2002(13)
[20] Huang Xian-wu. Wang Jia-jun, Li Jia-hua.. Digital image processing and compress coding technology (M).. Chengdu:University of Electronic Science and Technology Press. 2002(12)
[21] Li Jie-gu, Cai Guo-lian.. Computer pattern recognition technology (M) . Shanghai: Shanghai Jiaotong University Press 1986(2)
[22] 徐全生，于霞，梁东彬．汽车牌照图像的预处理研究．沈阳工业大学学报．2002(4)
[23] 叶晨洲，廖金周，梅帆．车辆牌照字符识别系统．计算机系统应用．1995(5)
[24] 郭军，马跃，盛立东，马义信．发展中的文字识别理论与技术．电子学报．1995(10)
[25] 张引，潘云鹤．面向车辆牌照字符识别的预处理算法．计算机应用研究．1999(9)
[26] 傅京孙．模式识别应用．北京：北京大学出版社．1988
[27] 张伟，王庆，赵荣椿汽车牌照的实时识别．信号处理．2000(12)
[28] Zheng Nan-ning,. Zhang Xi-ning. The license plate recognition system of running ear (j). Journal of Xian Jiaotong Unversity. 1991.25(1):43～54
[29] 阎建国，高亮，卢京潮．图像处理技术在车牌识别中的应用．电子技术应用．2000(1)
[30] 魏武，张起森，王明俊，黄中祥．一种基于模板匹配的车牌识
别方法．中国公路学报．2000(1)
[31] 吕岳．邮政编码数字识别系统的设计与实现．计算机工程与应用．1999(6)
[32] 魏君．集装箱编号智能识别系统的研究[硕士论文]．西安理工大学．
[33] 王积分，张新荣．计算机图像识别．北京：中国铁道出版社．1988
[34] SETCHEL L C J. Applications of computer vision to road-traffic monitoring, Ph. D. thesis[D]. England: University of Bristol, Faculty of Engineering, Department of Electrical and Electronic Engineering,1997.60—79
[35] 李介谷，蔡国廉．计算机模式识别技术．上海：上海交通大学出版社．1986
[36] 叶芗芸，戚飞虎，吴建渊．文本图像的快速二值化方法．红外与毫米波学报．1997(10)
[37] 容观澳．计算机图像处理．北京：清华大学出版社．2002
[38] Zhao Ming-sheng , Bao Cong-xiao. Operation and applying prospect of the CLPR technology using in traffic project and city safety (M). Beijing People Traffic Press. 1997
[39] 王润生．图像理解．国防科技大学出版社．1995
[40] Berenji Dr H R, Vengerov D. Learning, Cooperation, and Coordination in Multi-agent Systems. Intelligent Inference Systems Corp. Technical Report IIS-OO-10,2000-10
[41] 杨冬青，唐世渭(译)．数据库系统概念．北京：机械工业出 版社．2002
[42] 袁鹏飞．SQL Server 7.0 数据库系统管理与应用开发．北京：人民邮电出版社．1999