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Iris recoganizing method base on multiresolution analysis

A multi-resolution analysis and iris recognition technology, applied in the field of iris identification, can solve the problems of rotation and displacement sensitivity, weak anti-noise ability, and excessive calculation

Inactive Publication Date: 2008-07-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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Problems solved by technology

[0008] The above-mentioned iris image matching algorithms all have problems to a certain extent, such as excessive calculation, sensitivity to rotation and displacement, weak anti-noise ability, etc.

Method used

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  • Iris recoganizing method base on multiresolution analysis
  • Iris recoganizing method base on multiresolution analysis
  • Iris recoganizing method base on multiresolution analysis

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Embodiment Construction

[0037] In order to describe the contents of the present invention conveniently, some terms are defined at first:

[0038] Definition 1: Iris. The center of the eyeball is the black pupil, and the ring-shaped tissue between the outer edges of the pupil is the iris. It presents interlaced texture features resembling spots, filaments, striations, and crypts. The iris of the same person hardly changes throughout a person's life, and the iris of different people is completely different.

[0039] Definition 2: Grayscale image. An image that contains only luminance information in the image without any other color information.

[0040] Definition 3: Normalized iris image. After positioning the original iris image, in order to eliminate the head rotation during shooting, the inconsistency of the shooting distance, the pupil scaling and other problems, the image obtained after normalization operation, the normalized iris image has the same size.

[0041] Definition 4: Pixel graysca...

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Abstract

The invention provides an iris image matching method which is based on a multi-resolution analysis. The method comprises the following steps that: firstly an original normalized iris image is extracted through positioning and normalizing; then illumination estimation and histogram enhancement are carried out to the original normalized iris image; next, the enhanced normalized iris image is divided into 8 horizontal tapes, and the approximation A2-2dij(x) of the gradation sequence dij(x) of each tap intermediate row under the resolution ratio of 2<-2> is extracted to compose a characteristic vector; when two iris images are matched, the Euclidean distance between the characteristic vectors of the two images is calculated and is compared with the preset threshold value, thereby can judge whether the two iris images belongs to the same person. Adopting the iris image matching method of the invention can have stabler performance, and can avoid the influence of the high-frequency noise.

Description

【Technical field】 [0001] The invention relates to the technical field of image processing and pattern recognition, and mainly relates to the iris identification technology in biometric identification. 【Background technique】 [0002] In today's life, passwords, IC cards, stripe cards, magnetic cards or keys are things that appear in our lives almost every day, but they all have problems such as loss, forgetting, duplication and theft. Therefore, biometric identification technology based on human body characteristics has emerged. Because human body characteristics have the uniqueness inherent in the human body and cannot be copied, this biological key cannot be copied, stolen or forgotten. Using biometric technology for identity identification is safe, Reliable and accurate. This technology is widely used in government, military, social welfare and security defense. These human characteristics include fingerprints, palm prints, voices, signatures, irises, gait, and more. Ir...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 马争潘力立解梅
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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