Iris positioning method based on Maximum between-Cluster Variance and gray scale information

Abstract

The invention adopts the between-class square error and the gray scale information to realize the rapid positioning of the inside and outside boundaries of the iris. Firstly, the interested pupil region is extracted through blocking; the between-class square error is adopted to obtain the pupil binary threshold for the extracted pupil region; then the inside boundary of the iris is positioned accurately through the searching of the boundary points and the curve fitting; the interested region of the iris outside boundary is extracted according to the prior knowledge and the pupil position parameter; the selected region is processed with median filtering and first-order gradient conversion; the iris outside boundary is determined through the local gradient integration method; finally, the iris outside boundary parameter is determined through the circle fitting. The method avoids the image binary from depending on the histogram; the image positioning time is greatly improved because only the interested region is processed; the whole image is not processed; the experiment indicates that the robustness and the positioning efficiency of the algorithm can satisfy the real-time processing requirement of the image.

Description

【Technical field】 [0001] The invention belongs to the technical field of image processing, and mainly relates to an iris positioning method based on maximum inter-class variance and grayscale information in biological feature recognition. 【Background technique】 [0002] In today's information age, how to accurately identify a person's identity and protect information security is a key social problem that must be solved. For this reason, biometric identification technology has quietly emerged, and has become a frontier research topic in the field of information security management in the world. Biometric identification technology refers to the use of the inherent physiological or behavioral characteristics of the human body for personal identification. Iris identification technology is a branch of biometric identification technology. It is the application of computer image processing technology and pattern recognition technology in the field of personal identification techno...

AI Technical Summary

Problems solved by technology

[0007] The above two existing iris positioning methods, because the iris area is often blocked by the eyelids and eyelashes, the accuracy and effectiveness of the iris positioning algorithm needs to be further improved

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