人脸识别技术分析与系统架构  

Face Recognition Technology Analysis And System Architecture

作　　者：陈惠红[1] 刘世明[1] 胡耀民[1] CHEN Hui-hong;LIU Shi-ming;HU Yao-ming(Guangzhou Panyu Polytechnic Institute, Guangdong Guangzhou 511483)

机构地区：[1]广州番禺职业技术学院,广东广州511483

出　　处：《新型工业化》2017年第2期26-32,36,共8页The Journal of New Industrialization

基　　金：广州市教育系统创新学术团队项目(金额45万):复杂视觉场景下的行人检测和跟踪创新团队项目编号:1201610034

摘　　要：人脸识别技术在各种生物技术识别中异军突起,其具有操作隐蔽性、非接触式采集、并发性、事后跟踪能力强、操作简单等特点,在很多场所得到可广泛的使用。本文在红外人脸识别算法、KJ-Face人脸识别算法和LFA人脸识别算法的基础上,设计人脸识别系统的架构,然后通过人脸登记、人脸抓拍、人脸识别和报警、黑名单识别、搜索、查询等具体功能实现系统。人脸识别理论、系统架构和功能部署为今后人脸识别的研究提供方向。Face recognition technology has been widely used in many places.Compared with a variety of biological recognition technology,it contains inestimable advantage like operation concealment,non-contact collection,good concurrency,strong event tracking ability,simple operation and so on characters.The Paper designed face recognition system framework based on infrared face recognition algorithm,KJ-Face face recognition algorithm and LFA face recognition algorithm,then actualized System including face registration,face capture,face recognition and alarm,blacklist identification,search,query and other specific functions.Face recognition theory,system architecture and function deployment provide direction for future research on face recognition.

关 键 词：人脸识别 生物特征 人脸抓拍 生物认证技术 特征提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]