Dynamic iris positioning method based on pupil change

Abstract

The invention discloses a dynamic iris positioning method based on pupil change. The method comprises the following steps of acquiring an original iris image, setting a threshold value to binarize the image, detecting pupil boundaries by using a canny algorithm, detecting noise of the filtered image by using an eight-connection template, scaling down the image according to a proportion, positioning a pupil boundary by using Hough transformation, namely, an iris inner boundary, dynamically positioning the outer boundary of the iris in real time through the established mathematical model of the relationship between the pupil radius and the iris outer diameter, and obtaining an iris positioning map. According to the iris positioning method provided by the invention, the iris position can be quickly and accurately positioned, and an accurate iris image is provided for subsequent feature matching.

Description

technical field

[0001] The invention belongs to the technical field of iris positioning, in particular to a dynamic iris positioning method based on pupil changes. Background technique

[0002] Biometric technology has always been a hot spot in the field of social security. At present, iris recognition is considered to be one of the most reliable biometric technologies in recent years. It is inherent, not easy to be destroyed, and will not change for a lifetime, and the possibility of being forged and stolen is very small. For this recognition technology, there are many algorithms at present, among which the iris positioning algorithm has always been a hot topic of research. The purpose of iris positioning is to separate the iris area from the human eye image, and then remove the non-iris information such as pupils and sclera in the original image. , Iris positioning is an important part of iris recognition, and it occupies a very important position in iris recognition. It ...

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