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Iris characteristic extracting method based on FIR (Finite Impulse Response) filter and downsampling

A feature extraction and filter technology, applied in the field of iris feature extraction, can solve the problems of reduced recognition speed, more storage space, occupation, etc., and achieve the effect of simple implementation and high stability

Inactive Publication Date: 2012-07-25
SHANDONG UNIV
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Problems solved by technology

However, the number of features extracted by these methods is large, which leads to occupying more storage space and reducing the recognition speed.

Method used

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  • Iris characteristic extracting method based on FIR (Finite Impulse Response) filter and downsampling
  • Iris characteristic extracting method based on FIR (Finite Impulse Response) filter and downsampling
  • Iris characteristic extracting method based on FIR (Finite Impulse Response) filter and downsampling

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Embodiment Construction

[0036] The iris feature extraction method based on FIR filter and down-sampling of the present invention specifically comprises the following steps:

[0037] (1) Utilize the existing general-purpose image acquisition device (at present, the iris image acquisition is generally realized by infrared light source and infrared lens) to realize the iris image acquisition, and obtain the iris two-dimensional image. Preprocessing such as iris location, normalization, and histogram equalization is performed on the collected two-dimensional iris image to obtain a rectangular normalized image I with a size of K×L.

[0038] (2) Select the iris feature region and generate a one-dimensional iris signal. Select the upper 50% area of ​​the normalized iris image I as the region of interest for feature extraction. At this time, the size of the region of interest is K / 2×L. Connect the regions of interest by rows to obtain a one-dimensional iris signal:

[0039] V={I 1 , I 2 ,..., I k ,... I ...

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Abstract

The invention provides an iris characteristic extracting method based on FIR (Finite Impulse Response) filter and downsampling, which comprises the following steps of: 1, carrying out one-dimensional treatment on an acquired two-dimensional iris image; 2, filtering a one-dimensional iris signal through the FIR filter, wherein the obtained filtered one-dimensional iris signal is used as an extracted iris characteristic; and 3, carrying out downsampling and characteristic coding on the filtered characteristic, determining a downsampling factor by using the highest cut-off frequency of the FIR fitler, downsampling the filtered iris characteristic signal according to the downsampling factor to obtain the downsampled iris characteristic signal, and carrying out Hamming coding on the downsampled iris characteristic signal, wherein a characteristic vector subjected to the Hamming coding is an extracted iris characteristic vector. The characteristic in the iris, which is most beneficial to the identification, is extracted by using the filtering idea; and the iris characteristic extracting method has the characteristics of simpleness of realizing, less quantity of identification characteristics and high identification speed.

Description

technical field [0001] The invention relates to an iris feature extraction method for iris recognition, belonging to the technical field of iris feature extraction. Background technique [0002] Iris recognition technology is an important biometric identification technology. Compared with other biometric technologies, it has the advantages of high stability, high anti-counterfeiting, non-invasiveness and high accuracy. It has attracted more and more attention and has broad development prospects. [0003] Typical iris recognition includes several key steps such as iris image acquisition, iris image preprocessing, feature extraction and matching recognition. Iris image acquisition is generally realized by using an infrared light source and an infrared lens. The collected iris images not only contain circular iris, but also pupils, sclera, eyelids, eyelashes, and even light spots caused by reflections. Corresponding preprocessing is required to reduce the influence of these f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
Inventor 韩民张顺利
Owner SHANDONG UNIV
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