Heterogeneous iris classifier designing method capable of quickly filtering out fake irises during iris recognition and pretreatment

Abstract

The invention discloses a heterogeneous iris classifier designing method capable of quickly filtering out fake irises during iris recognition and pretreatment. The method includes: designing of an improved fake iris database, iris image assessment based on MSE (mean square error) analysis, iris image assessment based on SNR (signal to noise ratio) analysis, edge detection and iris image assessment based on improved edge acutance analysis. An iris image assessment system combining bilateral filtering, MSE analysis and SNR analysis is adopted innovatively in the field of iris recognition to realize efficient and stable filtering of irrelevant category iris attack, gray features of defocusing iris images, motion blur iris images and pupil-beautifying iris images and noise distribution features. Further, an iris image assessment system based on improved edge acutance analysis is innovatively designed aiming at edge acutance features of synthetic irises having high simulation degree. Finally, quick and stable filtering of the fake irises during iris recognition and pretreatment is realized.

Description

technical field [0001] The invention relates to the field of computer images, in particular to the CAISA iris database of the Institute of Automation of the Chinese Academy of Sciences and C++ image processing functions, specified grayscale extraction in images, noise reduction and visual display of processing results. Background technique [0002] With the rapid development of network and information technology, information security issues have become increasingly prominent. The improvement of software and hardware technology has enabled the popularization and use of computers and intelligent electronic devices, and accelerated the penetration of network technology into all aspects of social life. Illegal acquisition of users' personal information through network technology happens from time to time, which is hard to prevent, which makes people pay more attention to the security of personal information. Traditional identity verification methods are based on passwords and c...

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to solve the problem that the traditional heterogeneous iris classifier based on iris texture features needs to perform the filtering operation of heterogeneous iris in the feature extraction link, so that the entire iris preprocessing, positioning and segmentation and normalization operation links are almost invalid. Therefore, a large amount of computing resources are wasted and the overall execution efficiency of the iris recognition system is also reduced.

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