The Research on Footprint Recognition Method Based on Wavelet and Fuzzy Neural Network

摘要：

The method of footprint recognition method based on wavelet and fuzzy neural network is presented in this paper. The footprint image is transformed by wavelet to detect edge at first, then according to the statistical distribution disciplinarians of different shape toe images, membership functions are constructed respectively from the angle, length and region parameters, and these values are used as single judgment factors. The comprehensive judgment vector can be obtained through the operation among these single judgment factors. At last, the distance vector between comprehensive judgment vector and four model vectors are computed to feed into neural networks in order to judge. Because the method based on fuzzy neural network can reflect subjectively and correctly the different shapes of toe image, so the total automatic recognition rate amounts to 92.80％.

关键词： footprint toe shape wavelet fuzzy neural network

作者: Rong Wang Weijun Hong Nan Yang

作者单位: College of security & protection Chinese people’s public security university Beijing, China Information Center Zhongguancun Software Park Beijing, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）