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Iris recognition method

A technology of iris recognition and iris, which is applied in the field of iris recognition, can solve the problems of high cost, low recognition efficiency, and large samples required by the neural network, and achieve the effect of speeding up and improving accuracy

Inactive Publication Date: 2012-10-03
NANJING GUANGHUA TECH DEV
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Problems solved by technology

Among them, Euclidean distance and Hamming distance are easy to implement and fast, but the accuracy of recognition is low; neural network requires large samples, high cost, complex network structure, low recognition efficiency and other problems, which are not suitable for applications with high real-time requirements field

Method used

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Embodiment Construction

[0035] The present invention is described in detail below in conjunction with accompanying drawing:

[0036] A kind of iris recognition method, this method is implemented according to the following steps:

[0037] Step 1. Extraction of iris texture features:

[0038] a. Wavelet decomposition: Wavelet decomposition is a method of multi-resolution analysis, which decomposes the iris image into horizontal high frequency (LH1), vertical high frequency (HL1), diagonal high frequency (HH1) and low frequency approximation (LL1) four subband images, specifically as figure 1 shown;

[0039] b. Multi-channel filter bank extraction: multiple filters are constructed, and the low-frequency approximation (LL1) sub-band image is extracted from the radial and angular directions of the iris texture feature information through the improved two-dimensional log-Gabor filtering algorithm , the function expression is as follows:

[0040] The log-Gabor function is defined as:

[0041]

[004...

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Abstract

The invention provides an improved iris recognition method and aims to improve the accuracy of iris recognition and shorten the time of iris recognition. The method includes decomposing an iris image through wavelet transform to obtain low frequency sub-band information of the iris image, extracting texture features of the iris by utilizing two-dimensional log-Gabor filter banks in different directions and dimensions, and matching generated iris feature codes by utilizing a support vector machine. The iris recognition method is more suitable for real-time iris recognition.

Description

technical field [0001] The invention relates to the field of biological feature identification technology, in particular to an improved iris identification method based on two-dimensional log-Gabor filtering. Background technique [0002] In a highly digitized society, identification permeates people's daily lives. Traditional identification methods have the disadvantages of being easy to counterfeit, easy to lose, easy to forget, etc., and cannot meet the needs of the modern information society. In recent years, identification technology based on biometrics has attracted widespread attention. Compared with traditional identification technology, it has the advantages of stability, reliability, convenience and not easy to forge, and has become a hot spot in identification research. Among various biometric technologies, iris has the characteristics of collection, non-invasiveness, uniqueness and stability, and has been extensively studied in the past ten years. [0003] Iris...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 张旭徐昊陈再新
Owner NANJING GUANGHUA TECH DEV
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