A new fuzzy linear mapping technique for facial feature extraction and recognition

Author

Yu, Gwo-Jong ; Liao, Hong-Yuaii Mark ; Sheu, Jang-Ping

Author_Institution

Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan

Volume

2

fYear

1996

fDate

3-6 Jun 1996

Firstpage

1179

Abstract

Fast feature matching process and high recognition rates are two important issues in face recognition systems. In this paper, a fuzzy neural network based face recognition system which addresses on these two subjects is proposed. This face recognition system uses a fuzzy linear mapping for feature extraction and a fuzzy neural network for fuzzy feature matching. Experimental results show that the proposed face recognition system has two advantages: 1) higher recognition rates are achieved in comparison with statistical feature extraction methods; and 2) feature matching process using fuzzy neural network is faster than minimum distance classifier

Keywords

face recognition; feature extraction; fuzzy neural nets; image recognition; face recognition; facial feature extraction; feature matching; fuzzy linear mapping; fuzzy neural network; Ducts; Face recognition; Facial features; Feature extraction; Fuzzy neural networks; Linear discriminant analysis; Partial response channels; Pattern recognition; Principal component analysis; TV;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.549065

Filename

549065