Title :
Fuzzy pattern recognition method applied in droplet fingerprint recognition
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, fuzzy pattern recognition has been applied to the identification of droplet fingerprint which is taken as the research object. The identification based on the features extracted from droplet fingerprint and the establishment of membership functions. Then, identify the liquid by using the fuzzy identification theory to select features and matching based on classification of features. The experiments proved that the fuzzy pattern recognition method can not only effectively enhance the recognition efficiency, but also can quickly identify the type of liquid.
Keywords :
feature extraction; fingerprint identification; fuzzy set theory; image classification; droplet fingerprint identification; droplet fingerprint recognition; feature classification; features extraction; fuzzy identification theory; fuzzy pattern recognition method; membership function; Eigenvalues and eigenfunctions; Lakes; Minerals; Rivers; Springs; Variable speed drives; Liquid drop fingerprint identification; feature selection; fuzzy recognition; matching category;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622212