基于人脸识别智慧社区门禁控制系统的设计与实现

发布时间：2018-07-05 10:19

  本文选题：智慧社区 + 门禁系统　； 参考：《东北大学》2014年硕士论文

【摘要】：随着技术的不断更新,科技的持续发展,家居智能化控制技术被广泛的应用于现代的日常生活中,智慧社区的概念也慢慢被人们所熟知。智慧社区是使用物联网技术、云计算技术等,为达到安全生活、便利出行为宗旨而提出的新型社区。智慧社区中的门禁控制系统有着保障社区居民出入安全的职责,在整个智慧社区中起着极其重要的地位。同时,人脸识别技术有着非接触式、非侵犯性的特点,不断成为人们研究的热点。因此,对基于人脸识别智慧社区门禁控制系统的研究有着重要的意义。本论文在研究了各种生物身份识别原理和人脸识别技术国内外发展现状的基础上,结合实际生活中智慧社区建设项目的需求,设计了一种新型的基于人脸识别的门禁控制系统。论文重点对基于隐马尔可夫模型的人脸识别算法进行了详细的研究,介绍了图像的预处理过程,建立了人脸的嵌入式隐马尔可夫模型,并使用配置OpenCV类库的Microsoft Visual Studio 2010平台将其实现,通过对yale人脸库、ORL人脸库和自制人脸库的实验结果分析,表明基于嵌入式隐马尔可夫模型的人脸识别算法识别效果较好,但光照变化对其影响较大,对人脸表情变化的鲁棒性较好。论文将智慧社区门禁控制系统分为手机终端、人脸识别、后台服务器处理和门禁控制器四个模块,并对各个模块分别进行分析设计并将其实现。通过对系统的实验测试,本系统可以满足实际项目需求,且使用方便,识别精度高,有着重要的实用价值。
[Abstract]:With the continuous updating of technology and the sustainable development of science and technology, intelligent home control technology has been widely used in modern daily life, and the concept of intelligent community has been gradually known by people. Intelligent community is a new type of community, which uses Internet of things technology, cloud computing technology and so on, in order to achieve a safe life and convenient travel. The access control system in the intelligent community has the duty of ensuring the safe access of the community residents, and plays an extremely important role in the whole intelligent community. At the same time, face recognition technology has the characteristics of non-contact, non-invasive, and has become a hot research topic. Therefore, it is of great significance to study the access control system of intelligent community based on face recognition. On the basis of studying the principle of biometric identification and the development of face recognition technology at home and abroad, this paper designs a new access control system based on face recognition, combining with the requirement of intelligent community construction project in real life. In this paper, the algorithm of face recognition based on hidden Markov model is studied in detail, the process of image preprocessing is introduced, and the embedded hidden Markov model of human face is established. It is implemented on the Microsoft Visual Studio 2010 platform configured with OpenCV class library. The experimental results of yale face database and self-made face database show that the face recognition algorithm based on embedded hidden Markov model is effective. But the illumination change has great influence on it, and the robustness to the change of facial expression is better. In this paper, the intelligent community access control system is divided into four modules: mobile phone terminal, face recognition, background server processing and access controller. Through the test of the system, the system can meet the needs of the actual project, and it is easy to use, and has high recognition accuracy, which has important practical value.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU855;TP391.41
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本文编号：2099883