EBF neural network based on fingerprint recognition
Xianglin Zhan · Computer Engineering and Applications Journal · 2008
An Ellipsoidal Basis Function(EBF) can make the partition of input space and make a limitary and bounded.Com-pared with the Gaussian function of Radial Basis Function(RBF) neural network,the EBF can make the partition of input space more specific.So,it has the higher capability of pattern recognition.A novel fingerprint recognition algorithm has been proposed in this paper,which is based on EBF neural network.Firstly,wavelet feature is extracted on the binary fingerprint images with the help of Wavelet Transform(WT),which has made the preprocessing simple and improved the speed of fingerprint recognition.Then,fingerprint recognition can be realized by EBF neural network and the rate of fingerprint recognition has been improved.The experimental results based on FVC2000 have verified that the proposed algorithm has higher recognition rate and speed than WT-RBF.