Combination of improved modular 2DPCA and maximum scatter difference discriminate analysis for face recognition

Abstract

Abstract: A method of combination of improved modular 2DPCA and Maximum Scatter Difference discriminate analysis（MSD） is proposed. The improved modular 2DPCA is applied to the original face images for feature extraction. Then MSD is used to the sub-images of these obtained feature images in which way the final feature images are obtained. This method can not only exploit local features of original image and discriminate information but also totally avoid the problem of singular value decomposition of matrix. Experiments performed on ORL face database verify the effectiveness of the proposed method.

Key words: modular 2 Dimensional Principal Component Analysis（2DPCA）, maximum scatter difference discriminate analysis, face recognition

摘要： 提出了一种改进的模块2DPCA与最大散度差鉴别分析相结合的人脸识别方法。该方法先对原始人脸图像采用改进的模块2DPCA抽取特征，然后对得到的特征图像的子图像块施行最大散度差鉴别分析，得到最终的特征图像。该方法不仅利用了原始图像的局部特征和类别信息，而且完全避免了使用矩阵的奇异值分解。在ORL人脸库上的实验结果验证了该方法的有效性。

关键词: 模块二维主成分分析（2DPCA）, 最大散度差鉴别分析, 人脸识别

KONG Aixiang, WANG Chengru. Combination of improved modular 2DPCA and maximum scatter difference discriminate analysis for face recognition[J]. Computer Engineering and Applications, 2014, 50(2): 175-178.

孔爱祥，王成儒. 改进的模块2DPCA与MSD结合的人脸识别[J]. 计算机工程与应用, 2014, 50(2): 175-178.

[1]	QIAO Hui, ZHOU Shuisheng. Nolinear Angle 2DPCA and Its Application on Face Recognition [J]. Computer Engineering and Applications, 2021, 57(8): 112-118.
[2]	HU Wentao, CHEN Xiuhong. Low-Rank Projection Learning Based on Neighbor Graph [J]. Computer Engineering and Applications, 2021, 57(7): 209-214.
[3]	WANG Peng, YE Xueyi, WANG Tao, QIAN Dingwei. Face Recognition Based on Double Variation and Double Space Local Directional Pattern [J]. Computer Engineering and Applications, 2021, 57(4): 91-99.
[4]	SHI Zhengyu, CHEN Renwen, HUANG Bin. Low-Resolution Face Recognition Based on Self-Normalizing Neural Network [J]. Computer Engineering and Applications, 2021, 57(3): 137-143.
[5]	LI Junyao, LI Zhihui, XIE Lanchi, HOU Xinyu, YE Dong. Advances of Age Progression Based Cross-Age Face Recognition [J]. Computer Engineering and Applications, 2021, 57(24): 27-38.
[6]	LIU Jinjin, LI Qingbao, LI Xiaonan. Neural Network Compression Algorithm Based on Adversarial Learning and Knowledge Distillation [J]. Computer Engineering and Applications, 2021, 57(21): 180-187.
[7]	XU Xialing, LIU Tao, TIAN Guohui, YU Wenjuan, XIAO Dajun, LIANG Shanpeng. Review of Occlusion Face Recognition Methods [J]. Computer Engineering and Applications, 2021, 57(17): 46-60.
[8]	XU Ranran, WU Xiaojun, YIN Hefeng. Face Recognition via Discriminative Non-negative Representation Based Classification [J]. Computer Engineering and Applications, 2021, 57(13): 147-153.
[9]	WANG Yu, LIU Fan, WANG Fei. Autoencoder Based Sparse Representation for Single Sample Face Recognition [J]. Computer Engineering and Applications, 2021, 57(1): 168-172.
[10]	DONG Yanhua, ZHANG Shumei, ZHAO Junli. Review of Occlusion Face Recognition Method [J]. Computer Engineering and Applications, 2020, 56(9): 1-12.
[11]	LIN Kezheng, ZHANG Yuanming, LI Haotian. Research on HOG Feature Extraction Algorithm Weighted by Information Entropy [J]. Computer Engineering and Applications, 2020, 56(6): 147-152.
[12]	YUAN Xiaoping, CUI Qiwen, CHENG Gan, ZHANG Xia, ZHANG Yi, WANG Suyuan. Improved Gabor Self Quotient Image Algorithm and Its Application to Face Recognition [J]. Computer Engineering and Applications, 2020, 56(5): 206-213.
[13]	ZHANG Feixiang, YU Xueru, HE Weifeng, LI Chen. Face Recognition with Improved Loss Function and Multiple-Norm [J]. Computer Engineering and Applications, 2020, 56(24): 144-150.
[14]	CHEN Zhe, WU Xiaojun. Robust Face Recognition Algorithm Based on Structured Low-Rank Recovery [J]. Computer Engineering and Applications, 2019, 55(6): 126-132.
[15]	BAI Chuang, CHEN Xiang. Research on New LeNet-FC Convolutional Neural Network Model Algorithm [J]. Computer Engineering and Applications, 2019, 55(5): 105-111.

Combination of improved modular 2DPCA and maximum scatter difference discriminate analysis for face recognition

改进的模块2DPCA与MSD结合的人脸识别

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics