Method for identity recognition through extracting iris texture characteristic

An iris texture and identity recognition technology, applied in the field of identity recognition, can solve the problems of high correct recognition rate, insensitivity to brightness changes and noise, high correct recognition rate, etc., achieve simple and reliable algorithm, improve real-time performance, and high recognition accuracy Effect

Inactive Publication Date: 2009-01-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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Problems solved by technology

Although the second algorithm overcomes the limitations of the previous system caused by drift, rotation and scaling, it is also insensitive to brightness changes and noise, and does not require very high quality of captured images.
However, because the algorithm only uses part of the iris texture feature info

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  • Method for identity recognition through extracting iris texture characteristic
  • Method for identity recognition through extracting iris texture characteristic
  • Method for identity recognition through extracting iris texture characteristic

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Embodiment Construction

[0037] The iris recognition algorithm proposed by the present invention has obtained higher iris recognition accuracy. It extracts the feature information of the iris texture image through two-dimensional wavelet packet decomposition, uses the entropy criterion to eliminate noise interference, uses the important coefficient method to encode, and finally uses Manhattan Distance is used as a classifier to get the final recognition result.

[0038] In order to describe content of the present invention conveniently, at first make a term definition here:

[0039] 1. Iris: The part of the human eye between the pupil and the sclera, which contains unique and rich texture information, which can be used for identification. Its geometry is a ring shape.

[0040] 2. The inner and outer edges of the iris: The junction between the iris and the pupil is called the inner variable edge of the iris, which is a circle. The junction of the iris and the sclera is called the outer edge of the ir...

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Abstract

The invention discloses a method for carrying out identification by extracting the textural property of iris. The method of the invention comprises the steps that two-dimension wavelet packet decomposition is carried out to an iris image after normalization treatment; quantization coding is carried out to subgraph coefficients, meanwhile, the airspace and frequency domain information of texture is extracted, and finally, Manhattan Distance is used as a classifier to obtain the result of identification. By adopting the iris recognition algorithm provided by the invention, higher rate of accuracy of identification and better noise-resistant performance can be obtained, furthermore, running speed is faster, thus meeting the requirement of real-time performance of a system.

Description

【Technical field】 [0001] The invention relates to a method for identity recognition by extracting iris texture features, in particular to a method for how to use two-dimensional wavelet packets to extract iris texture features for identity recognition. 【Background technique】 [0002] With the development of information technology and the wide application of electronic business, information security has gradually become an important and urgent problem that people are facing. Therefore, biometric identification technology, which can be used for identity authentication and information security protection, has been paid more and more attention by people. The so-called biometric identification technology refers to the close combination of computer and high-tech means such as optics, acoustics, biosensors and biostatistics, and uses the inherent physiological and behavioral characteristics of the human body to identify personal identities. The iris feature recognition technology ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 马争汪洁
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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