A kind of iris recognition preprocessing method and device
A technology of iris recognition and preprocessing, which is applied in the fields of image processing and biometrics, which can solve the problems of incomplete application of iris recognition, difficulty in accurately marking the center of the pupil, difficulty in peak and trough analysis, etc., and achieve the effect of rapid human eye positioning
Active Publication Date: 2019-02-15
徐鹤菲
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Problems solved by technology
These methods can realize the positioning of human eyes under different conditions, but each method has its own advantages and disadvantages, and is not completely suitable for iris recognition
For example, although the AdaBoost classifier method is more robust, it has a large amount of calculation, and it is not easy to accurately mark the center of the pupil
The gray-scale integral projection method needs to project along the line between the two eyes and the vertical direction of the line, and then locate the human eye according to the law of projection peaks and valleys. This method is simple to implement and the positioning speed is fast. Analysis of peaks and troughs can be difficult in the presence of uniformity or interfering objects
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[0022] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0023] figure 1 A schematic diagram of an iris recognition preprocessing method 100 according to an exemplary embodiment of the present invention is shown. Such as figure 1 As shown, the method is executed in the computing device and starts from step S110.
[0024] In step S110, an eye image including an iris area is acquired. For example, the image of the human eye can be obtained through the iris recognition device installed o...
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The invention discloses a preprocessing method for iris recognition, the method comprising: acquiring a human eye image including an iris area; estimating the ambient light intensity according to the brightness of the human eye image; selecting a predetermined radius range of the pupil according to the estimated ambient light intensity; The Laplacian operator convolves the human eye image to obtain the convolution result image; by binarizing and expanding the convolution result image, the expansion binarized image is obtained; the candidate connectivity is extracted from the expansion binarization image area; in the candidate connected area, detect the candidate pupil spot according to the area and contrast conditions; use the predetermined radius range of the pupil to detect the circle near the candidate pupil spot, and determine the center and radius of the pupil according to the detected circle; according to the center and radius of the pupil , to determine the iris area. The invention also discloses a corresponding iris recognition preprocessing device.
Description
technical field [0001] The invention relates to the fields of image processing and biological identification, in particular to an iris identification preprocessing method and device. Background technique [0002] The iris is a ring-shaped area between the pupil and the sclera in the human eye, which contains rich texture information. However, the iris imaging device inevitably collects pupils, sclera, eyelids, eyelashes, etc. while collecting iris images. The iris recognition needs only the area between the pupil and the sclera that is not blocked by the eyelids and eyelashes. Therefore, in order to obtain this area, it is necessary to accurately locate the iris area, and eye positioning is an important preprocessing step. [0003] At present, there are many mature human eye positioning algorithms, such as detection method based on Hough transform, template matching method, edge feature extraction method, geometric feature method, detection method based on AdaBoost classifi...
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IPC IPC(8): G06K9/00
CPCG06V40/193
Inventor 王晓鹏
Owner 徐鹤菲