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Iris classification method based on texture primitive statistical characteristic analysis

A technology of texture primitives and statistical characteristics, applied in the field of pattern recognition, can solve the problems of increased hardware cost and difficulty in parallel software development, and achieve the effect of shortening the average time, reducing the search space, and improving real-time performance.

Active Publication Date: 2009-09-23
BEIJING IRISKING
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AI Technical Summary

Problems solved by technology

Although parallel computing technology can be used to reduce the time for each recognition, this will bring about increased hardware costs and problems in parallel software development

Method used

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  • Iris classification method based on texture primitive statistical characteristic analysis
  • Iris classification method based on texture primitive statistical characteristic analysis
  • Iris classification method based on texture primitive statistical characteristic analysis

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specific Embodiment

[0084] Specific examples provided by the invention are as follows:

[0085]The invention is especially suitable for an iris recognition system with a large-scale iris database. For example, the self-service boarding system of an airport uses iris recognition technology, which is connected to the iris database (about one million) of fugitive criminal suspects in the Public Security Bureau. When Zhang San was wanted by the public security organ for embezzling public funds, his iris information was put into the iris database (also known as the blacklist) of fugitive criminal suspects. When Zhang San dressed up in disguise and used a fake passport to flee by plane, when using the self-service boarding system, the system captured Zhang San’s iris image, automatically extracted its category information, and finally put the iris image in the same category as the blacklist The iris image registration template was compared one by one, and Zhang San's real identity was confirmed. The s...

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Abstract

The invention discloses an iris classification method based on texture primitive statistical feature analysis. The method comprises: S1, preprocessing a clear iris image in a training set, obtaining an interested region ROI, extracting features of the ROI region, training the extracted texture features, building a model and obtaining an iris rough classification model; and S2, preprocessing the clear iris image arbitrarily input, obtaining the ROI region, extracting the features, inputting the extracted iris texture features into the model obtained through the training in the step S1 and obtaining the class information of the input iris image. The method has the advantages of shortening average time for completing iris comparison once, achieving real-time effects and effectively speeding up feature-template comparison in large-scale databases through an iris recognition technique.

Description

technical field [0001] The invention belongs to the field of pattern recognition, relates to technologies such as image processing and computer vision, and in particular relates to an iris classification method based on statistical characteristic analysis of texture primitives. Background technique [0002] With the development of biometric identification technology and the popularization of biometric identification technology in people's daily life, as well as the increase in the number of people using biometric identification technology, especially the increase in iris recognition users, it will inevitably lead to the continuous expansion of iris feature database. This expansion of scale is not only reflected in the expansion of data storage, but also in the increase in the time it takes to search for a certain record from the database. [0003] For example, in a one-to-many ultra-large-scale (such as a city, a user in a country) biometric application, the time required to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00
Inventor 谭铁牛孙哲南邱显超何召锋
Owner BEIJING IRISKING
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