Method for distinguishing false iris images based on robust texture features and machine learning

Abstract

The invention relates to a method for distinguishing false iris images based on robust texture features and machine learning, which comprises the following steps: preprocessing true iris images or false iris images; extracting the partitioned statistical features of a robust weighted partial binary pattern; and carrying out training and sorting of a support vector machine, and judging whether the test images are false iris images or not according to the output result of a sorter. The method of the invention combines SIFT descriptors and partial binary pattern features to extract the robust texture features, the description of textures is more stable because of the robustness of the SIFT to brightness, translation, rotation and scale change, and the support vector machine enables the method to have better universality. The invention can be used for effectively distinguishing the false iris images, has the advantages of high precision, high robustness and high reliability, can be used for distinguishing false irises such as paper printing irises, color printing contact lenses, synthetic eyes and the like, and can improve the safety of the system when being applied to the application system in which iris recognition is used for carrying out identification.

Description

technical field [0001] The invention relates to computer vision, digital image processing and pattern recognition, especially a method for discriminating fake iris images based on robust texture features and machine learning. Background technique [0002] At present, identification based on biometrics has been valued by governments of various countries and has penetrated into every aspect of people's daily life. Iris-based biometric identification technology has received more and more attention in the past ten years, and related research and technology have also developed rapidly. It has been successfully used in e-commerce, financial securities, information security, transportation, public security and justice and other occasions. As iris recognition moves from experiment to practicality and has been applied in many security prevention and control fields, the iris recognition system itself is also facing security problems, and various forms of system attacks have emerged. ...

AI Technical Summary

Problems solved by technology

As the iris recognition system develops in the direction of user-friendliness and ease of use, the requirements for user cooperation are reduced, which will lead to problems such as degradation of picture quality, which makes the authenticity of iris face more challenges.

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