Gray Scale Projection Based Infrared Facial Image Analysis For Identity Verification
Many existing methods for IR face recognition and verification are based on facial features. However, there are some weaknesses of infrared (IR) image, such as low resolution, no texture and colour information, blurring features. These make the approaches based on facial features difficult for IR image analysis. This paper presents results of IR facial image analysis based on gray scale projection. Through these projections, a 2-dimensional IR image is converted to several one-dimensional signatures. We attempt to extract concise features by analyzing projected patterns of the image along one or more directions. In one paradigm, projections along 4 typical directions are performed to get 4 one-dimensional vectors. Different analysis methods for the projected pattern, such as direct pattern correlation analysis, chain code modelling are carried out and compared. To minimize both extrinsic and intrinsic influence, only the center part of the face is used, which is from the eye brow down to the mouth. The features can provide potential information for classification for IR image based identity verification and recognition.
Lijun JIANG Xiaofan LIU Shiqian WU Jinsong LENG
Republic Polytechnic, Singapore Oral Roberts University, USA Institute for Infocomm Research, Singapore Harbin Institute of Technology, China
国际会议
2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)
哈尔滨
英文
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）