基于Markov网络和多信息融合的民航人脸识别  

Face Recognition of Civil Aviation Based on Markov Network and Multi-information Fusion

作　　者：车通 朱燕翎 王谦 李博文 CHE Tong;ZHU Yan-ling;WANG Qian;LI Bo-wen(Academy of Airport Engineering and Transport Management,China Civil Aviation Flight College,Guanghan,Sichuan 618307,China)

机构地区：[1]中国民用航空飞行学院机场工程与运输管理学院,四川广汉618307

出　　处：《计算技术与自动化》2020年第2期138-144,共7页Computing Technology and Automation

摘　　要：针对民航人脸识别系统中人脸图像的锐化识别问题,提出了一种人脸锐化照片综合识别方法。对于不同尺度下的不同合成结果,采用双尺度Markov网络的级联锐化合成方法进行图像合成,并提出了基于结构信息和特征信息的人脸识别数据融合方法。结合人脸识别认知理论,将结构信息和特征信息结合起来完成识别。实验结果表明,该方法在合成和识别过程中均优于其他方法。Aiming at the problem of facial image sharpening recognition in civil aviation face recognition system,this paper proposes a comprehensive method of facial image sharpening recognition.For different synthesis results at different scales,the cascade sharpening synthesis method of two-scale Markov network is used to synthesize images,and a face recognition data fusion method based on structural information and feature information is proposed.Combining the cognitive theory of face recognition,the structure information and feature information are combined to complete the recognition.The experimental results show that this method is superior to other methods in the process of synthesis and recognition.

关 键 词：人脸识别 双尺度Markov网络 结构信息 特征信息 图片锐化 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]