Liquid Recognition Using Fuzzy Pattern Recognition Based on Combined Features

Author

Luo, Yuan ; Song, Qing ; Li, Jie ; Zou, Cun-wei

Author_Institution

Autom. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China

Volume

1

fYear

2010

fDate

13-14 Oct. 2010

Firstpage

911

Lastpage

914

Abstract

In this paper, droplet fingerprint is taken as the research object. Maximum membership principle classifier which based on fuzzy comprehensive evaluation is used to achieve automatic recognition and classification of liquid. The extraction of eigenvalues, establishment of membership function, weight distribution and the fuzzy decision-making which are the key technologies in fuzzy pattern recognition are carefully discussed in the paper. The experiments proved that the fuzzy pattern recognition system provide a useful reference to improve the liquid identification based on drop fingerprint.

Keywords

decision making; eigenvalues and eigenfunctions; fingerprint identification; fuzzy set theory; image classification; pattern recognition; droplet fingerprint; eigenvalue extraction; fuzzy comprehensive evaluation; fuzzy decision-making; fuzzy pattern recognition system; liquid classification; liquid identification; liquid recognition; maximum membership principle classifier; membership function; weight distribution; Capacitance; Eigenvalues and eigenfunctions; Feature extraction; Fingerprint recognition; Liquids; Statistical analysis; Combination of features; Droplet fingerprint; Feature selection; Fuzzy comprehensive evaluation; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-8333-4

Type

conf

DOI

10.1109/ISDEA.2010.36

Filename

5743324