Image quality evaluating method for iris identification system

Abstract

An image quality evaluation method for an iris recognition system, using the "image clarity" index to determine the accuracy of the focus of the collected iris image, using the entropy of the gray level co-occurrence matrix as the evaluation function of image clarity, and using the "inner and outer eccentricity" The index determines the degree of eccentricity of the inner and outer edges of the iris in the collected iris image, that is, the degree of deformation of the iris texture, and the "iris visibility" index is used to judge the amount of effective iris texture information contained in the collected iris image, that is, to the recognition system For the ability to provide effective information, use the "standard score method" to combine the above three indicators to obtain the comprehensive quality index of the iris image, and select the image with relatively better quality in the collected image sequence for identification. The invention comprehensively reflects the image quality requirements of the iris recognition system, reduces time and space complexity, and lowers the false acceptance rate and false rejection rate of the system.

Description

Technical field: [0001] The invention relates to an image quality evaluation method of an iris recognition system, which uses a standard method to synthesize three quality indexes to obtain a comprehensive quality index of an iris image, and belongs to the technical field of iris recognition in biometric technology. Background technique: [0002] With the rapid development of network and communication technology and the continuous expansion of human physical and virtual activity space, modern society has put forward higher requirements for the accuracy, security and practicality of human identification. Traditional identification methods (such as passwords, certificates, etc.) are far from meeting this requirement because they are easy to forget or be forged. It is necessary to find a new way of identification that is more secure, reliable, and easy to use. [0003] Biometric technology is to use pattern recognition, image processing and other methods to reliably and effecti...

AI Technical Summary

Problems solved by technology

[0012] The present invention uses the "image sharpness" index to determine the accuracy of the iris image focus collected, combines the gray-scale co-occurrence matrix reflecting the image texture characteristics with the entropy reflecting the image balance characteristics, and proposes to use the entropy of the gray-scale co-occurrence matrix as the The evaluation function of image sharpness to overcome the deficiency that the maximum entropy method cannot reflect the image structure

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