Method for recognizing iris on basis of odd-symmetry 2D (two-dimensional) Log-Gabor filter and Adaboost combinations

Abstract

The invention relates to a method for recognizing iris on the basis of odd-symmetry 2D (two-dimensional) Log-Gabor filter and Adaboost combinations. The method has the advantages that the problem of partial non-effective feature points when iris features are extracted by 2D Log-Gabor filters can be solved by odd-symmetry 2D Log-Gabor filters, phase and amplitude signals of iris textures are analyzed at different frequencies in different directions, redundant information is eliminated by the aid of feature fusion technologies, accordingly, feature codes can be formed and can be trained by the aid of Adaboost algorithms to form the optimal classifiers, and features can be recognized.

Description

technical field [0001] The invention relates to an iris recognition method based on the combination of an oddly symmetrical 2D Log-Gabor filter and Adaboost, and belongs to the technical field of image processing. Background technique [0002] The feature extraction of iris is the key link of iris recognition, which is related to whether iris can be recognized correctly, so the feature extraction of iris is one of the key points and difficulties of iris recognition research. The iris is mainly a texture feature, which can be extracted by texture analysis. The basic principle of texture analysis is that a local texture structure in an image is closely related to the gray level variation of the local neighborhood, and the measurement of texture features must be Rely on subimages composed of this neighborhood. The frequency domain analysis of the texture structure focuses on the overall properties of the structure and requires larger sub-images, while the spatial domain analys...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is: for the 2D Log-Gabor filter to extract the iris features, there are some non-effective feature points and other problems, and the odd symmetry 2D Log-Gabor filter is used to solve the above problems. First, the phase and amplitude information of the iris texture are in Analyze different frequencies and directions, use feature fusion technology to eliminate redundant information, thereby forming feature encoding, and then use Adaboost algorithm for training to form the strongest classifier for feature recognition

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