The Two-Directional 2DPCA Based Method Improved for Face Recognition in Modules
作者： Biwei Ding , Hua Ji , Mengyu Ji
DOI: 10.1109/SIPROCESS.2018.8600432
关键词: Image (mathematics) 、 Support vector machine 、 Face (geometry) 、 Artificial intelligence 、 Facial recognition system 、 Pattern recognition 、 Principal component analysis 、 Computer science 、 Eigenvalues and eigenvectors 、 Block (telecommunications)
摘要: In this paper, the improved face recognition method based on two-directional 2DPCA (two-dimensional principal component analysis) in each block of images is proposed. Firstly, image divided into several sub-images, and then sub-image features corresponding are extracted by according to number sub-images. Finally, using support vector machine improve rate. Experimental results ORL database YALE show that proposed superior any other methods
sci-hub.se 参考文章(15)
Lingjun Li, Yali Peng, Guoyong Qiu, Zengguo Sun, Shigang Liu, A survey of virtual sample generation technology for face recognition Artificial Intelligence Review. ,vol. 50, pp. 1- 20 ,(2018) , 10.1007/S10462-016-9537-Z
Chunhui Ding, Tianlong Bao, Saleem Karmoshi, Ming Zhu, Single sample per person face recognition with KPCANet and a weighted voting scheme Signal, Image and Video Processing. ,vol. 11, pp. 1213- 1220 ,(2017) , 10.1007/S11760-017-1077-8
Xu Yan, Modular 2DPCA face recognition algorithm based on image segmentation ieee international conference on signal and image processing. pp. 210- 213 ,(2016) , 10.1109/SIPROCESS.2016.7888254
Tao Li, Mengyuan Li, Quanxue Gao, Deyan Xie, F-norm distance metric based robust 2DPCA and face recognition. Neural Networks. ,vol. 94, pp. 204- 211 ,(2017) , 10.1016/J.NEUNET.2017.07.011
Xiaodong Li, Aiguo Song, Letters: Fuzzy MSD based feature extraction method for face recognition Neurocomputing. ,vol. 122, pp. 266- 271 ,(2013) , 10.1016/J.NEUCOM.2013.06.025
Xiao Luan, Bin Fang, Linghui Liu, Lifang Zhou, Face recognition with contiguous occlusion using linear regression and level set method Neurocomputing. ,vol. 122, pp. 386- 397 ,(2013) , 10.1016/J.NEUCOM.2013.06.014
W. Zhao, R. Chellappa, P. J. Phillips, A. Rosenfeld, Face recognition: A literature survey ACM Computing Surveys. ,vol. 35, pp. 399- 458 ,(2003) , 10.1145/954339.954342
Jian Yang, D. Zhang, A.F. Frangi, Jing-yu Yang, Two-dimensional PCA: a new approach to appearance-based face representation and recognition IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 26, pp. 131- 137 ,(2004) , 10.1109/TPAMI.2004.1261097
Matthew Turk, Alex Pentland, Eigenfaces for recognition Journal of Cognitive Neuroscience. ,vol. 3, pp. 71- 86 ,(1991) , 10.1162/JOCN.1991.3.1.71
Jianwei Zhao, Zhenghua Zhou, Feilong Cao, Human face recognition based on ensemble of polyharmonic extreme learning machine Neural Computing and Applications. ,vol. 24, pp. 1317- 1326 ,(2014) , 10.1007/S00521-013-1356-4