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Iris identification method based on blanket dimension and lacunarity

A technology of iris recognition and blanket, applied in the field of iris recognition, can solve the problems of underutilization of iris fractal geometric information, complex operation of wavelet technology, and inability to overcome the same fractal dimension

Inactive Publication Date: 2011-06-08
SHANDONG UNIV
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Problems solved by technology

[0003] In the existing iris recognition processing methods, the gray value statistical information of the iris texture is usually used for iris matching, and the fractal geometric information of the iris and the iris information under multi-resolution are not fully utilized.
However, the traditional fractal dimension method cannot overcome the problem that different iris texture characteristics may have the same fractal dimension, and does not consider the radiation physiological characteristics of iris texture
A common multi-resolution information extraction method, such as wavelet technology, is more complex in operation, resulting in a decline in the real-time performance of the entire iris recognition

Method used

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  • Iris identification method based on blanket dimension and lacunarity
  • Iris identification method based on blanket dimension and lacunarity

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Embodiment Construction

[0046] Generally speaking, the iris recognition system is divided into two modules of "hardware" and "software", that is, an iris image acquisition device and an iris recognition method. The iris recognition method consists of four main steps: iris localization, iris image normalization, iris feature extraction and pattern matching. The method proposed by the invention will be applied to the iris recognition software module, and realize the iris recognition by using the hardware module. The iris image acquisition device includes a computer, an image acquisition card and a high-resolution camera, wherein the image acquisition card is arranged in the computer, and the image acquisition card is connected with the high-resolution camera through a data line.

[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but is not limited thereto.

[0048] An iris recognition method based on blanket dimension and missi...

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Abstract

The invention relates to an iris identification method based on blanket dimension and lacunarity, belonging to the technical field of iris identification. The method comprises the following main steps of iris identification, iris image normalization, iris feature extraction and pattern matching. In the invention, the blanket dimension and lacunarity of iris texture are respectively calculated, and then two types of feature indexes are combined so as to obtain excellent identification effect; therefore, the method solves the problem that the existing iris identification method is incapable of efficiently utilizing iris fractal geometric feature and radiation physiological property.

Description

technical field [0001] The invention relates to an iris recognition method based on blanket dimensions and missing items, and belongs to the technical field of iris recognition. technical background [0002] Biometric identification technology is a method of identifying people by using their own physiological or behavioral characteristics. It has important applications in high-security fields such as airports, automatic teller machines, and e-commerce. At present, the features that have been applied to the field of biometric identification mainly include: fingerprints, palm prints, iris, hand shape, face, vein map, gait, etc. Among them, the iris has more unique advantages compared to other features. The iris is a fabric-like ring of colors inside the pupil of the eye, each iris contains a unique textured characteristic structure. The human iris is stable at about 2 to 3 years old and no longer changes with age. Because the iris has the advantages of high uniqueness, stab...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20
Inventor 周卫东刘凯
Owner SHANDONG UNIV
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