| 基于光照归一化分块完备LBP特征的人脸识别 |
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| 引用本文： | 周巍,程勇,曹雪虹.基于光照归一化分块完备LBP特征的人脸识别[J].计算机工程与应用,2015,51(11):145-149. |
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| 作者姓名： | 周巍 程勇 曹雪虹 |
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| 作者单位： | 1.南京邮电大学 通信与信息工程学院，南京 210003
2.南京工程学院 通信工程学院，南京 211167 |
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| 基金项目： | 江苏省自然科学基金(No.BK20131342)。 |
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| 摘 要： | 针对复杂光照条件下的人脸识别，提出了一种基于光照归一化分块完备局部二值模式（B-CLBP）特征的人脸识别算法。该方法对人脸图像进行光照归一化预处理，对处理后的人脸图像进行B-CLBP特征提取，融合成B-CLBP直方图，根据最近邻准则进行分类识别。在Extended Yale B人脸库上的实验结果表明，所提算法可以有效提高复杂光照条件下的人脸识别率。
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| 关 键 词： | 人脸识别 光照归一化 分块完备局部二值模式 |
Face recognition based on illumination normalization and block-based completed local binary pattern |
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| ZHOU Wei,CHENG Yong,CAO Xuehong.Face recognition based on illumination normalization and block-based completed local binary pattern[J].Computer Engineering and Applications,2015,51(11):145-149. |
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| Authors: | ZHOU Wei CHENG Yong CAO Xuehong |
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| Affiliation: | 1.College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2.School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, China |
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| Abstract: | Aiming at the problem of face recognition under complex illumination, an effective face recognition method based on illumination normalization and block-based completed local binary pattern is proposed. The method performs illumination normalization on face images, then extracts the B-CLBP features from the processed face images in order to form the B-CLBP histogram, applies the nearest neighbor principle for face recognition. The experimental results on Extended Yale B face databases demonstrate that the proposed method can achieve significant recognition rate under complex illumination conditions. |
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| Keywords: | face recognition illumination normalization Block-based Completed Local Binary Pattern(B-CLBP) |
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