Iris recognition method based on iris texture orientation feature extracted by 2D-Gabor filter
利用2D-Gabor滤波器提取纹理方向特征的虹膜识别方法

The algorithms of iris recognition based on the 2D-Gabor filter usually used the phase features or energy features of the iris, but when the usable area of the iris decreased, the recognition rate of these algorithms obviously would go down. Iris not only has phase features or energy features, but also has orientation features. After analyzing the directional and frequency selection of 2D-Gabor filter, proposed an iris recognition method based on iris orientation feature using 2D-Gabor filter. Experimental results show that these orientation features of the iris texture which are extracted in very small region of iris can achieve an iris recognition which has high accuracy, this result demonstrates that orientation features of the iris texture is an effective features which is used in iris recognition.