IRIS RECOGNITION METHOD AND IRIS RECOGNITION METHOD BASED ON MULTI-DIRECTIONAL GABOR AND ADABOOST

摘要

Disclosed are an iris recognition method and an iris recognition method based on multi-directional Gabor and Adaboost. The method includes: step 1) retrieving a 2D Gabor feature from a normalized iris image; and step 2) performing classified recognition on the feature obtained in step 1) by using an Adaboost algorithm. Multi-directional Gabor wavelets in one same dimension are adopted to retrieve the feature, at the same time the expanded iris image is divided into blocks, and in combination with the integral information and local information of the iris, the Gabor features of the entire iris image and an iris image submodule are retrieved at the same time and coding is performed. Next, the integral information and the local information are combined to form a multidimensional feature vector, and the Adaboost algorithm is introduced to select features, and eventually a classifier is constructed for recognition. The beneficial effects of the present invention lie in that: only a part, containing a few noises, of the iris is used for recognition, thereby reducing the influences of noises, desirably solving the problem in recognizing a low quality iris image, and having desirable recognition performance.