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面向警务案件的人脸图像模式识别系统的设计与实现

发布时间:2018-05-19 22:01

  本文选题:警务案件 + 图像模式 ; 参考:《电子科技大学》2014年硕士论文


【摘要】:随着现代社会在政治、经济和科技的快速进步,犯罪分子的作案手段和犯罪的态势也随之有了很大的变化。为了能够更好的保障人民群众的生活工作安全,构建和谐社会,警务部门在侦破案件的过程中也需要采用先进的侦破手段抓获犯罪嫌疑人。本文研究人脸图像模式识别的方法在警务案件中的应用,其目的是有效锁定犯罪目标,实现事前的预防和精确打击。该系统能最大效率地提高刑事案件的防控能力,做到警力资源的有的放矢,从而高效地配置警力,提高案件的侦破效率。论文的主要内容包括以下几方面:1)课题给出了面向警务案件的人脸识别系统的研究背景、选题意义和国内外的发展现状,针对警务案件的特殊性阐述了面向警务案件的人脸识别技术对案件的侦破和犯罪嫌疑人身份识别的意义。2)针对警务案件的具体需求对系统进行设计,将系统主要划分成五个模块:图像获取模块、图像预处理模块、人脸定位模块、特征提取模块、识别模块,并且对系统的性能和功能给出相应的指标。3)基于系统的设计,完成系统的功能模块流程图设计和实现,对关键模块给出实现代码,并且给出相关的界面。项目后期对所实现的系统展开了详细的测试,测试结果良好。系统实现了在警务案件中对待检测人脸图像的身份验证,满足项目的各项需求指标。系统操作简便、形式直观,界面友好。系统稳定性良好而且在警务部门案件侦破领域也起到一定的帮助作用。
[Abstract]:With the rapid progress of politics, economy and science and technology in modern society, the crime means and crime situation of criminals have changed greatly. In order to better ensure the safety of the people's life and work and build a harmonious society, the police departments also need to use advanced detection means to capture the suspects in the process of detecting cases. In this paper, the application of face image pattern recognition in police cases is studied. The system can improve the ability of prevention and control of criminal cases with maximum efficiency, so that the police resources can be targeted, thus the police force can be allocated efficiently and the detection efficiency of cases can be improved. The main contents of the thesis include the following aspects: 1) the research background of the face recognition system for the police case, the significance of the selected topic and the current situation of the development at home and abroad are given. Aiming at the particularity of police affairs, this paper expounds the significance of face recognition technology facing police affairs to the detection of cases and the identification of criminal suspects. 2) the system is designed according to the specific needs of police cases. The system is divided into five modules: image acquisition module, image preprocessing module, face location module, feature extraction module, recognition module. The design and implementation of the function module flow chart of the system are completed, and the implementation code for the key module is given, and the related interface is given. In the later stage of the project, the system was tested in detail, and the test result was good. The system realizes the authentication of face image detection in police cases, and meets the requirements of the project. The system is simple to operate, intuitive in form and friendly in interface. System stability is good and in the police department case detection field also plays a certain role.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP391.41

【参考文献】

相关硕士学位论文 前1条

1 黄荣斌;嵌入式人脸识别系统及车牌字符分割算法研究[D];北京邮电大学;2013年



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