Face Recognition Using Gabor-Based Feature Extraction and Feature Space Transformation Fusion Method for Single Image per Person Problem-Reference-Cited by-同舟云学术

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Face Recognition Using Gabor-Based Feature Extraction and Feature Space Transformation Fusion Method for Single Image per Person Problem

Published:2017-08-17 Issue:3 Volume:47 Page:1197-1217
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Li Li,Ge Hongwei,Tong Yubing,Zhang Yixin

Funder

Graduate Innovation Foundation of Jiangsu Province, Chian

111 Project, and PAPD of Jiangsu Higher Education Institutions, China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s11063-017-9693-4/fulltext.html

Reference43 articles.

1. Abate AF, Nappi M, Riccio D et al (2007) 2D and 3D face recognition: a survey. Pattern Recognit Lett 28(14):1885–1906

2. Zhao W, Chellappa R, Phillips PJ et al (2003) Face recognition: a literature survey. ACM Comput Surveys (CSUR) 35(4):399–458

3. Kan M, Shan S, Su Y et al (2013) Adaptive discriminant learning for face recognition. Pattern Recognit 46(9):2497–2509

4. Tan X, Chen S, Zhou ZH et al (2006) Face recognition from a single image per person: a survey. Pattern Recognit 39(9):1725–1745

5. Raudys SJ, Jain AK (1991) Small sample size effects in statistical pattern recognition: recommendations for practitioners. IEEE Trans Pattern Anal Mach Intell 13(3):252–264

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