Method and device for pre-treating iris identification
An iris recognition and preprocessing technology, which is applied in the acquisition/recognition of eyes, character and pattern recognition, instruments, etc., can solve the problems of incomplete application of iris recognition, difficulty in analyzing peaks and troughs, and difficulty in accurately marking the center of the pupil. The effect of fast human eye positioning
Active Publication Date: 2016-05-18
徐鹤菲
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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 method and device for pre-treating iris identification. The method comprises following steps: a human eye image containing an iris area is obtained; the environment illumination intensity is estimated on the basis of the brightness of the human eye image; a preset radius range of a pupil is selected on the basis of the estimated environment illumination intensity; a convolution result image is obtained through performing convolution on the human eye image by means of Laplace operators; an expanded binary image is obtained through performing binaryzation and expansion on the convolution result image; a candidate communicated region is extracted from the expanded binary image; a candidate pupil light spot is detected in the candidate communicated region on the basis of area and contrast conditions; the candidate pupil light spot vicinity is detected for a circle by means of the preset radius range of the pupil, and a center and a radius of the pupil are determined on the basis of the detected circle; the iris area is determined on the basis of the center and the radius of the pupil. The invention also discloses a corresponding device for pre-treating iris identification.
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 郭岩松徐鹤菲
Owner 徐鹤菲