Fuzzy 2-Dimensional FLD for Face Recognition
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@Article{JICS-4-233,
author = {Wankou Yang, Jianguo Wang, Mingwu Ren, Jingyu Yang},
title = {Fuzzy 2-Dimensional FLD for Face Recognition},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {3},
pages = {233--239},
abstract = {This paper proposes a new method of face image feature extraction, namely, the fuzzy 2DFLD
(F2DFLD) based on the 2D fisher discriminant criterion and fuzzy set theory. In the proposed method, we
calculate membership degree matrix by FKNN, then we incorporate the membership degree into the
definition of the between-class scatter matrix and within-class scatter matrix and get the fuzzy between-class
scatter matrix and fuzzy within-class scatter matrix. Experiments on the Yale, ORL and FERET face
databases show that the new method can work well
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22749.html}
}
TY - JOUR
T1 - Fuzzy 2-Dimensional FLD for Face Recognition
AU - Wankou Yang, Jianguo Wang, Mingwu Ren, Jingyu Yang
JO - Journal of Information and Computing Science
VL - 3
SP - 233
EP - 239
PY - 2024
DA - 2024/01
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22749.html
KW - FLD, 2DFLD, Fuzzy 2DFLD, Feature extraction, Face Recognition
AB - This paper proposes a new method of face image feature extraction, namely, the fuzzy 2DFLD
(F2DFLD) based on the 2D fisher discriminant criterion and fuzzy set theory. In the proposed method, we
calculate membership degree matrix by FKNN, then we incorporate the membership degree into the
definition of the between-class scatter matrix and within-class scatter matrix and get the fuzzy between-class
scatter matrix and fuzzy within-class scatter matrix. Experiments on the Yale, ORL and FERET face
databases show that the new method can work well
Wankou Yang, Jianguo Wang, Mingwu Ren, Jingyu Yang. (2024). Fuzzy 2-Dimensional FLD for Face Recognition.
Journal of Information and Computing Science. 4 (3).
233-239.
doi:
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