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

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%.