Face recognition based on histograms of nonsubsampled contourlet oriented gradient

doi:10.11772/j.issn.1001-9081.2014.01.0158

Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (1): 158-161.DOI: 10.11772/j.issn.1001-9081.2014.01.0158

• Network and distributed techno • Previous Articles Next Articles

Face recognition based on histograms of nonsubsampled contourlet oriented gradient

FENG Junpeng,YANG Huixian,CAI Yongyong,ZHAi Yunlong,LI Qiuqiu

Faculty of Material and Photoelectronic Physics, Xiangtan University,Xiangtan Hunan 411105, China

Received:2013-07-22 Revised:2013-09-15 Online:2014-02-14 Published:2014-01-01
Contact: FENG Junpeng

基于非下采样contourlet梯度方向直方图的人脸识别

奉俊鹏,杨恢先,蔡勇勇,翟云龙,李球球

湘潭大学材料与光电物理学院,湖南湘潭 411105

通讯作者: 奉俊鹏
作者简介:奉俊鹏(1990-),男,湖南娄底人,硕士研究生,主要研究方向:图像处理、数字信号处理,模式识别;杨恢先(1963-),男,湖南益阳人,教授,主要研究方向:图像处理、人工智能;蔡勇勇(1988-),男,江苏南通人,硕士研究生,主要研究方向:模式识别、嵌入式系统;翟云龙(1988-),男,湖北荆门人,硕士研究生,主要研究方向:模式识别、嵌入式系统;李球球(1989-),女,湖南衡阳人,硕士研究生,主要研究方向:模式识别。
基金资助:
湖南省教育厅资助科研项目;湘潭大学资助科研项目

Abstract

Abstract: Concerning the low accuracy of face recognition systems, a face recognition algorithm based on Histograms of Nonsubsampled contourlet Oriented Gradient (HNOG) was proposed. Firstly, a face image was decomposed with Non-Subsampled Contourlet Transform (NSCT) and the coefficients were divided into several blocks. Then histograms of oriented gradient were calculated all over the blocks and used as face features. Finally, multi-channel nearest neighbor classifier was used to classify the faces. The experimental results on YALE , ORL and CAS-PEAL-R1 face databases show that the descriptor HNOG is discriminative, the feature dimension is small and the feature is robust to variations of illumination, face expression and position.

Key words: Non-Subsampled Contourlet Transform (NSCT), Histograms of Oriented Gradient (HOG), face recognition, nearest neighbor classifier

摘要： 针对人脸识别系统准确度不高的问题,提出一种基于非下采样Contourlet梯度方向直方图(HNOG)的人脸识别算法。先对人脸图像进行非下采样Contourlet变换(NSCT),并将变换后的各系数矩阵进行分块,再计算各分块的梯度方向直方图(HOG),将所有分块的直方图串接得到人脸图像HNOG特征,最后用多通道最近邻分类器进行分类。在YALE人脸库、ORL人脸库上和CAS-PEAL-R1人脸库上的实验结果表明,人脸的HNOG特征有很强的辨别能力,特征维数较小,且对光照、表情、姿态的变化具有较好的鲁棒性。

关键词: 非下采样Contourlet变换, 梯度方向直方图, 人脸识别, 最近邻分类器

CLC Number:

TP391.413

FENG Junpeng YANG Huixian CAI Yongyong ZHAi Yunlong LI Qiuqiu. Face recognition based on histograms of nonsubsampled contourlet oriented gradient[J]. Journal of Computer Applications, 2014, 34(1): 158-161.

奉俊鹏杨恢先蔡勇勇翟云龙李球球. 基于非下采样contourlet梯度方向直方图的人脸识别[J]. 计算机应用, 2014, 34(1): 158-161.

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Face recognition based on histograms of nonsubsampled contourlet oriented gradient

基于非下采样contourlet梯度方向直方图的人脸识别

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