基于LBPT方法的彩色人脸图像识别  

Color Face Image Recognition Based on LBPT Method

作　　者：叶继华[1] 陈亚慧[1] 王仕民[1] 

机构地区：[1]江西师范大学计算机信息工程学院,江西南昌330022

出　　处：《系统仿真学报》2016年第1期160-166,共7页Journal of System Simulation

基　　金：国家自然科学基金项目(61262036);江西省分布计算工程技术研究中心项目(2012006)

摘　　要：针对现有彩色人脸图像识别时获取较好的彩色人脸图像信息算法的不足,提出了LBPT(Local Binary Parttern Threshold)算法实现高效的彩色人脸图像识别。LBPT算法是通过自适应获取邻域半径、确定邻域半径与邻域像素点个数关系以及阈值设定来反映灰度图像的纹理特征。利用RGB颜色空间模型将彩色人脸图像分离为R,G,B 3个分量图;利用LBPT算法获取分量图的特征;利用不确定度方法为分量图特征分配权值并融合,进一步实现识别。实验证明:LBPT算子在识别精度上有一定的提高。Aiming to the shortcomings of exiting algorithm to obtain better color face image information for color facial image recognition, the LBPT algorithm was proposed to realize the high efficiency recognition of color face image. LBPT algorithm reflected the texture features of gray image through adaptively obtaining neighborhood radius, ascertaining the relationship between neighborhood radius and neighborhood pixel number, setting threshold. The RGB color model was used to separate the color face image into the R,G,B three component diagrams. The LBPT algorithm was used to obtain the feature of the component diagrams. In order to realize further recognition, the method of uncertainty was used to allocate weight to the feature of component diagrams and fuse them. Experiments show that the LBPT operator has certainly increased the recognition accuracy.

关 键 词：彩色图像 人脸识别 LBPT算子 RGB 不确定度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]