Application of Fuzzy Algorithm Based on Distance in Hand-shape Dentification
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.
Hand-shape Recognition Eigenvector Fuzzy Pattern Recognition Hamming distance Euclidean distance.
Jingmiao Zhang Weixiao Gao
Computer center,Hebei University of Economics & Business Shijiazhuang,050061,China Information & Technology College,Hebei University of Economics & Business Shijiazhuang,050061,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
1895-1898
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）