Method for identifying iris of large animals

An iris recognition and large animal technology, applied in the field of iris recognition, can solve the problems of inconvenient management of large animals, easy falling off or loss of ear tags and electronic tags, etc., to achieve the effect of effective management and information tracking

Active Publication Date: 2009-06-03
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Traditional identification of large animals generally uses ear tags or electronic tags, and ear tags and electro

Method used

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  • Method for identifying iris of large animals
  • Method for identifying iris of large animals

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[0019] Because it is difficult to collect large animal iris images and is greatly affected by outdoor light, environment and animal eye shaking, it is necessary to evaluate and filter the quality of iris images. According to certain standards, select images with better quality and that can be used for identification. Treat as follows:

[0020] Combine figure 1 with figure 2 As shown, a large animal iris recognition method includes the following steps:

[0021] (1) Preprocessing of iris image:

[0022] Use the large animal iris recognition system to read in the iris image and perform preprocessing, view the grayscale histogram of the image through the iris recognition software, find the valley value between the first and last wave crest in the image, and use it as the threshold. After the image is subjected to threshold transformation to achieve binarization, the edge detection Sobel algorithm is used to detect the edge of the image, and then the coordinates of the left and right ...

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Abstract

The invention discloses a method for identifying iris of large animals, which belongs to the field of iris identification. The method mainly comprises the following steps: performing threshold variation and edge detection to an iris image to realize pretreatment, positioning the inner boundary circle and the outer boundary circle of the iris area by approximate circle fitting algorithm, determining the feature extraction area through division and normalization of the iris area, and determining the feature code through a 2DGabor filter. On the basis of the method for identifying iris of human eyes, the method solves the problem of noise interference caused by over-long eyelashes of the large animals by combining the eye features of the large animals and selecting the corresponding algorithms, and realizes the positioning of irregular pupil areas, and determination and final identification of iris feature coding of the large animals. The invention can realize effective management and information tracking of the large animals, and individual source tracing of pollution of meat products.

Description

technical field [0001] The invention relates to an iris recognition method, in particular to a large animal iris recognition method, which belongs to the field of iris recognition. Background technique [0002] Biometric identification technology is a technology based on the inherent physiological or behavioral characteristics of human beings. Iris is generally considered to be one of the most reliable biological characteristics, with uniqueness, stability, collectability and non-invasiveness. Etc. As a new identification method, iris recognition can achieve a very high accuracy rate through a specific recognition algorithm. According to statistics, its misrecognition rate is the lowest among various biometric identifications. These characteristics make iris recognition a very useful application. The prospective identity authentication method has extremely wide application fields and is suitable for many occasions where security precautions are required. Human iris recogni...

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Application Information

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IPC IPC(8): G06K9/00G06F17/50
Inventor 赵林度方超孔强李永红王小强
Owner SOUTHEAST UNIV
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