| 基于完整LBP特征的人脸识别* |
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| 引用本文： | 袁宝华,王欢,任明武.基于完整LBP特征的人脸识别*[J].计算机应用研究,2012,29(4):1557-1559. |
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| 作者姓名： | 袁宝华 王欢 任明武 |
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| 作者单位： | 1. 南京理工大学泰州科技学院计算机系,江苏泰州,225300
2. 南京理工大学计算机系,南京,210094 |
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| 基金项目： | 国家自然科学基金资助项目(60875010) |
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| 摘 要： | 提出一种基于完整局部二值模式(CLBP)进行人脸识别的方法,CLBP算子包括三个部分:中心像素的LBP(CLBP_C)、符号部分的LBP(CLBP_S)、数值部分的LBP(CLBP_M)。该方法首先采用CLBP算子提取人脸灰度图像的直方图;然后融合成CLBP直方图,进行直方图相似性比较;最后根据最近邻原则进行识别。在ORL和YALE标准人脸数据库上的实验表明,该方法得到的结果比LBP效果更好,鲁棒性更高。
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| 关 键 词： | 完整局部二值模式 特征提取 人脸识别 局部二值模式 |
Face recognition based on completed local binary pattern |
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| YUAN Bao-hu,WANG Huan,REN Ming-wu.Face recognition based on completed local binary pattern[J].Application Research of Computers,2012,29(4):1557-1559. |
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| Authors: | YUAN Bao-hu WANG Huan REN Ming-wu |
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| Affiliation: | (1.Dept. of Computer Science & Technology, Taizhou Institute of Science & Technology of Nanjing University of Science & Technology, Taizhou Jiangsu 225300, China; 2.School of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094, China) |
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| Abstract: | This paper presented a method of face recognition based on completed local binary pattern. CLBP operators was decomposed into three operators, namely CLBP_C,CLBP_S and CLBP_M, are proposed to code the C,S and M features, respectively. First,it used CLBP operator to extract the CLBP histogram from block grey-level face images. Then combined the CLBP_C,CLBP_S and CLBP_M codes to form the CLBP feature map of the original image and evaluated the goodness between tow CLBP histograms. Finally, face recognition based on the nearest neighbor principle. The simulation experiments illustrate that this method has better recognition rate and more robust than LBP on the ORL and YALE face database. |
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| Keywords: | completed local binary pattern(CLBP) feature extraction face recognition local binary pattern(LBP) |
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