DocumentCode :
3543892
Title :
Application of fuzzy algorithm based on distance in hand-shape dentification
Author :
Zhang, Jingmiao ; Gao, Weixiao
Author_Institution :
Comput. Center, Hebei Univ. of Econ. & Bus., Shijiazhuang, China
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
The problem of fuzzy pattern recognition based on eigenvector is often met with in computer measurement and control system. Both the object to be identified and the standard pattern stored in the database have a certain degree of uncertainty because errors are inevitable in the process of eigenvector extraction. The problem of fuzzy pattern recognition can be turned into the problem of calculating the hamming distance and Euclidean distance of two fuzzy sets according to fuzzy theory. This thesis aims to describe the fuzzy pattern recognition algorithm based on distance of two fuzzy sets, which is successfully used in the hand-shape identity recognition system by using the normal distribution function as the membership function of the eigenvector. Experiment shows that this algorithm can be promoted and applied to any other pattern recognition system in which random errors are inevitable.
Keywords :
eigenvalues and eigenfunctions; fuzzy set theory; pattern recognition; Euclidean distance; eigenvector; fuzzy algorithm; fuzzy pattern recognition; fuzzy set; fuzzy theory; hamming distance; hand-shape identification; normal distribution function; Application software; Computer errors; Control systems; Databases; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Hamming distance; Pattern recognition; Eigenvector; Euclidean distance; Fuzzy; Hamming distance; Hand-shape Recognition; Pattern Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274436
Filename :
5274436
Link To Document :
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