Identification recognizing method based on binocular iris

Abstract

The present invention relates to the identification method based on eyes iris. Specific steps are: first collecting iris images to the eyes at the same time, respectively positioning processing, and using the eyes symmetry, mutually correcting position parameters of the pupil and the iris in the process of positioning of the left and right images of the iris, optimizing the result of iris location; According to the position results, carrying out the division, the normalization and the feature extraction in order to obtain the characteristics template of their eyes iris; finally matching the features templates of the database and the left and right eyes iris respectively, and calculating the results of the ultimate recognition by the fusion algorithm of the data of matching tier. This invention makes use of the stability of repeated acquisition and the more rich texture information brought by the eyes iris, further improves the robustness and the accuracy of the iris identification.

Description

technical field [0001] The invention belongs to the technical field of biometric identification and information security, and particularly relates to an identification method based on iris of both eyes. Background technique [0002] Because of the inherent characteristics of biometrics (fingerprint, iris, face, etc.), biometric identification technology makes it possible to surpass and replace traditional identification technology, and it has been promoted in specific application fields in some countries and regions. and use. Among them, iris recognition is particularly outstanding in the accuracy of identity recognition. At the same time, because of its unique physiological structure, iris recognition technology has the potential to build a safer social environment. However, for the existing iris recognition technology, its excellent performance is based on the fact that an ideal iris image can always be collected; and it is difficult to guarantee such a foundation in prac...

AI Technical Summary

Problems solved by technology

However, for the existing iris recognition technology, its excellent performance is based on the fact that an ideal iris image can always be collected; and the actual application environment is difficult to guarantee such a basis, which hinders the iris recognition technology. The main factors that promote large-scale practical application

This non-ideal iris image (the upper and lower eyelids block too much iris part; the angle between the center normal direction of the iris surface and the visual axis is too large; the iris rotation angle is too large and other unstable factors) is necessary for the follow-up The identification will bring two main problems: first, the diversity of different acquisitions of the same iris increases; second, the loss of effective information and the increase of interference information in a single acquisition

[0005] At present, there is no research on related aspects such as identification based on the iris of the human eye in the published literature.

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