The Face Recognition Algorithm Based On Double Coding Local Binary Pattern
This paper proposes a new Double Coding Local Binary Pattern algorithm (d-LBP) to improve the weakness of traditional LBP algorithm,such as,incompletely features extraction,too much sample points,low computational efficiency and so forth.Firstly,it defines two thresholds: the amplitude threshold and the difference threshold,which succeed in taking full consideration of the relationship among pixel gray values and reducing sampling points.Secondly,the paper uses the d-LBP algorithm to extract statistical characteristics in each small block of the original face image.Finally,it fulfills the face recognition by using K Nearest Neighbor algorithm.
face recognition LBP d-LBP recognition rate histogram Introduction
Gao Ye Gao Kao
School of Computer Science and Technology,Xian university of Science and Technology Xian,710054,China
国际会议
湖北咸宁
英文
292-294
2014-11-24（万方平台首次上网日期，不代表论文的发表时间）