Title :
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
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;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.36
