The study of biomimetic pattern iris recognition algorithm based on the wavelet transform and SVD
Junying Zeng · Journal of Circuits and Systems · 2012
an iris recognition algorithm based on the biomimetic pattern recognition(BPR) theory is presented in this paper.First,edge location,normalization and the selection of the effective location is applied to the iris image,and Daubechies-4 wavelet transform(WT) and singular value decomposition(SVD) are used to extract the feature of it,then hyper sausage neuron is adopted in double-weights neural network to construct the high-dimensional closed covering space of the same class iris samples.Tested samples is recognized or rejected by judging whether tested samples are covered with any hyper sausage chain.Simulation results in CASIA iris database 1.0 show that the proposed method can achieve high correct recognition rate,and maintain high rejection rate with the iris samples untrained.