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足迹比对检验系统图像处理与痕迹比对计算机本科论文.doc

足迹比对检验系统图像处理与痕迹比对计算机本科论文.doc

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足迹比对检验系统图像处理与痕迹比对计算机本科论文

足迹比对检验系统—图像处理与痕迹比对 摘 要传统的人工对比足迹方法,费时费力,对比误差较大,需要有丰富的工作经验,鉴于以上实际情况,开发利用计算机自动鉴定足迹的软件是十分必要的。足迹对比定系统在Visual C++ 6.0开发环境下开发,使用SQL Server 2000数据库管理文件目录,通过图像处理技术,对采集的足迹图像进行样本提取,特征分析,对比鉴定。 本系统分为四个大模块:资源录入,动力特征,对比分析,数据和文件管理。资源录入模块用于录入由图像采集设备得到的足迹图像,和生成分析图像需要的足迹边界模板;动力特征模块用于对足迹样本进行图像处理,提取关键特征并保存;对于已经完成特征分析的各个足迹样本,对比分析模块按照它们的特征进行对比,分析差异;数据和文件管理模块可以对规模庞大的库存图像数据进行有效方便的管理。动力特征对比分析 关键词:足迹对比Visual C++ 6.0 SQL Server 2000 图像处理 ABSTRACT With the traditional and artificial method,to contrast footprint is a hard work that waste a lot of time and energy. Apart from this,the work needs our missionary to have rich experience. Even if,they still make many errors in the work. in view of above-mentioned,it is necessary to develop a software that could contrast footprint with computer. The Footprint Contradistinction System was developed in the environment of Visual C++ 6.0,and it manage the file menu with SQL Server 2000. With image processing techniques,the system could draw sample from the image of the footprint,and then do some feature analysis on the sample,at last,it compares many different features of footprints,and to fix if they were made by the same person. The system contains 4 module: resource enter, feature analysis, feature contrast and management for data and file.The first module, resource enter,is used to get image from equipment, apart from this,this module could create some templates for the following analysis’need .The second module, feature analysis,is used to do some process on a image which got from the first module.In other words,this module get some pivotal characters of the image and save them. For the images,which have finished being analyzed,the third module could contrast their differences by their features.At last,the fourth module, management for data and file,could support a convenient and effective management on the huge image data. This paper will expound the design of feature analysis and feature contrast. Key words:contrast footp

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