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Method for selecting and rapidly comparing robust features of iris images

An iris image and robust feature technology, applied in the field of robust feature selection and fast comparison of iris images, can solve the problems of slow feature template matching and unsuitable application.

Active Publication Date: 2009-09-23
BEIJING IRISKING
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Problems solved by technology

Finally, when comparing feature templates, even for two obviously mismatched feature templates, they all need to calculate all the features in the template, so the matching speed of feature templates is slow, and it is not suitable for large-scale database applications.

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  • Method for selecting and rapidly comparing robust features of iris images
  • Method for selecting and rapidly comparing robust features of iris images
  • Method for selecting and rapidly comparing robust features of iris images

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Embodiment Construction

[0072] The technical problems involved in the technical solution of the present invention will be described below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0073] The iris is a ring-shaped area between the black pupil and the white sclera in the human eye, showing rich textures. Iris recognition refers to identifying people's identities based on the different iris textures of each person. A large number of medical and computer science studies have shown that the distribution of iris texture has many excellent properties, such as:

[0074] 1. Randomness and uniqueness: the iris texture of different eyes is highly random and different;

[0075] 2. Self-similarity in angular direction: The iris texture distribution in different angular directions of the same iris image has a certain degree of similarity, as...

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Abstract

The invention discloses a method for selecting and rapidly comparing robust features of iris images. The method comprises: S1, adopting regional multipole sequencing measurement features to express iris texture; S2, selecting and fusing iris features by taking similarity as guidance; and S3, rapidly comparing iris characteristic templates on the basis of a hierarchical classifier. The method uses a feature-selecting method taking similarity as the guidance to select regional measurement features and construct a combined classifier, and adopts a hierarchical classifier structure to optimize and combine the obtained combined classifier again so as to rapidly compare the iris characteristic templates. The method automatically learns the obtained iris regional sequencing measurement features, and has the advantages of greatly raising the speed of comparing the iris characteristic templates and effectively solving the problem of applying iris recognition to large-scale databases, along with good robustness and high recognition precision. The method can be widely used in a large number of application systems using iris for identity recognition and security protection.

Description

technical field [0001] The invention relates to the technical fields of digital image processing, pattern recognition and statistical learning, in particular to a method for robust feature selection and fast comparison of iris images. Background technique [0002] The iris is the richly textured ring-shaped area of ​​the human eye between the black pupil and the white sclera. A large number of medical and computer science studies have shown that the iris texture of different eyes (including the left and right eyes of humans and the eyes of twins) is different, and it has been stable since 8 months after the embryo is formed, so the iris has a high degree of uniqueness. , The advantages of strong stability. In addition, the iris is an externally visible internal organ, which has the advantage of being noninvasive. These advantages make the iris particularly suitable for identification and identification of people, and have been successfully applied to identification in airp...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G07C9/00A61B3/12G06F21/00G06F21/32
Inventor 谭铁牛孙哲南何召锋邱显超
Owner BEIJING IRISKING
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