Illumination Normalization based on Local Binary Pattern Image

摘要：

this paper presents a novel and efficienct illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.

关键词： face recognition Local Binary Pattern Local Binary Pattern Image illumination normalization

作者: Yu CHENG Zhigang JIN Cunming HAO

作者单位: Tianjin University, Tianjin, China Hebei Institute of Applied Mathematics, Shijiazhuang, China Hebei Tianjin University, Tianjin, China Hebei Institute of Applied Mathematics, Shijiazhuang, China Hebei Information Security Certification

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 94-97

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）