Method for accurately positioning iris center of low-resolution image

Abstract

The invention discloses a method for accurately positioning the iris center of a low-resolution image. The method comprises the following steps of acquiring face feature points, and extracting an eyearea image according to the obtained face feature points; performing binarization treatment on the eye area image and recognizing the eye state, namely eye opening and eye closing recognition; roughlypositioning the iris center of the eye area image through a double-circle activity boundary model; extracting the edge of the iris and accurately positioning the iris center of an eye-opening image by adopting the least binary circle fitting algorithm; and accurately positioning the iris center of an image with less than two edges and the iris center of an eye-closing image by adopting the iris center quality evaluation and binarization communication domain method. The invention also discloses an extraction device for accurately positioning the iris center of the low-resolution image. According to the method, the parameters of the double-circle activity boundary model are initialized by utilizing eye anatomical parameters, and an accurate and practical algorithm for extracting the iris edge is designed. Therefore, the calculation efficiency and the accuracy of iris center positioning are improved.

Description

technical field [0001] The invention belongs to the technical field of feature recognition in computer vision, and specifically relates to a low-resolution image human iris center positioning method based on a double-circle active boundary model, circle fitting and binary connected domain technology. Background technique [0002] Pupil center positioning technology plays a very important role in the field of computer vision. This technology can be widely used in biometrics, face alignment, line of sight estimation, human-computer interaction and other fields. At present, the technical research on face iris center extraction is mainly divided into three categories, namely current recording method, scleral contact lens / search coil method and image / video recording method. However, the application occasions of the first two technologies are very limited, and the equipment requirements are relatively high; the image / video recording method using only ordinary commercial cameras d...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method for precise positioning of the iris center of a low-resolution image, aiming to solve the problems of high equipment requirements, many restrictions, and low accuracy in existing extraction methods

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