Iris Recognition Algorithm Based on Multi-channel Gabor Filter and 2DPCA
Ke Zhou · Research and Exploration in Laboratory · 2013
In order to improve the recognition rate and time efficiency of the iris recognition system,an iris recognition algorithm based on multi-channel Gabor filter and two-dimensional principal component analysis(2DPCA) is designed in this paper.The multi-channel Gabor which shares the same characteristics with the biological visual system has the ability of co-location in the airspace and frequency domain.The extraction of iris texture feature is high when using multi-channel Gabor filters to analysis the iris obtained.Since the arithmetic speed of feature matching and iris recognition are usually affected by the fact that the dimensions of the characteristic vector matrix are usually large,it is necessary to reduce the of the feature matrix.The 2DPCA can effectively overcome the dimension crisis which is popularly encountered in traditional iris recognition systems,and it can reduce the iris matching computation and improve the efficiency of the iris identification system based on the retention of the main component of the iris texture.Difference matching method is utilized in iris recognition.Experimental results are carried out by comparing the threshold value obtained in the experiment.This method shares the characteristic that it can adjust every iris image database whose capacity range is not the same.In the experiment,the algorithm presented is tested based on an iris image database whose capacity is 50.The lowest recognition rate reaches 88%.Moreover,the recognition time is just about one half of the traditional methods.Both the theory analysis and experimental results have shown that the algorithm proposed is highly precise in feature extraction,and has a high recognition rate and recognition speed.