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Iris identifying method based on ripple analysis and zero passage description

A wavelet analysis, zero-crossing technology, applied in the field of pattern recognition, can solve the problems of non-conformity, easy to counterfeit, easy to forget, etc., to achieve the effect of small calculation, reduced dimension and fast speed

Inactive Publication Date: 2004-04-14
BEIJING IRISKING
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AI Technical Summary

Problems solved by technology

Traditional identification methods such as passwords have shortcomings such as easy to forget and easy to counterfeit, which no longer meet the needs of the modern digital society

Method used

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  • Iris identifying method based on ripple analysis and zero passage description
  • Iris identifying method based on ripple analysis and zero passage description
  • Iris identifying method based on ripple analysis and zero passage description

Examples

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Embodiment 1

[0060] Example 1: Identification based on iris recognition

[0061] The iris recognition method based on wavelet analysis and zero-crossing description proposed by the present invention can be applied in various identification systems, combining figure 2 The description of the usage process is as follows:

[0062] 1) For the input original iris image, preprocessing is performed first, including iris location, normalization, image enhancement and denoising, such as image 3 shown.

[0063] 2) By down-sampling, multiple one-dimensional signals are used to represent the most important and distinguishing information in the two-dimensional iris image. A special wavelet is used to obtain the description of the zero-crossing point of the down-sampled one-dimensional signal at multiple resolutions, and quantify it to obtain a binary feature vector.

[0064] 3) At this time, it can be matched with the feature vectors representing different irises in the database to obtain the recog...

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Abstract

The method includes steps of pretreatment of iris image, feature description of iris zerocross point, compress and decompress of iris features, and feature matching. The pretreatment includes operations of iris positioning, normalization, image enhancement and noise removing. The pretreatment picks up iris area to be analyzed from original image effectively. Feature of iris zerocross point is analyzed by using multiresolution wavelet so as to build eigenvectors capable of decrypting iris image accurately. Feature compress reduces dimensions of eigenvectors of iris greatly. The compressed eigenvectors needs only small storage space to store. Simple Euclidean distance is adopted in the invention to measure similarity degree between two eigenvectors. Thus, calculated amount is small. The invention possessing fast recognition speed and high recognition accuracy is applicable to application system such as identification and safety guard.

Description

technical field [0001] The invention relates to pattern recognition, especially an iris-based identification method. Background technique [0002] Living in a highly informationized modern society, identity recognition has penetrated into every aspect of people's daily lives. At the same time, due to the rapid development of transportation, communication and network technologies, the scope of human activities is increasing, and the difficulty and importance of identification are becoming more and more prominent. For a country with a large population like my country, identification has particularly broad application prospects and important strategic significance. Finance, security, network, e-commerce, etc. all do not require reliable identification. Traditional identification methods such as passwords have disadvantages such as easy forgetting and easy counterfeiting, which no longer meet the needs of the modern digital society. The identification technology based on biolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/36G06K9/46
Inventor 谭铁牛王蕴红马力张德馨
Owner BEIJING IRISKING
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