Method and device for identifying irises

Abstract

The invention discloses a method and a device for identifying irises. The method comprises the following steps of rotating an extracted image matrix of upper eyelid boundary images from a first iris image according to a plurality of rotation angles, so as to obtain a plurality of rotation matrixes; obtaining a first number of crossing points of a first parabola matched with each rotation matrix and the upper eyelid boundary determined by each rotation matrix; using the rotation angle corresponding to the maximum value of the first number as the rotation angle of eyes in the first iris image; according to the rotation angle of the eyes in the first iris image, determining the initial angle for normalizing the first iris image; using the initial angle to normalize the first iris image; using the extracted image feature from the normalized image to search the feature information in a database, so as to identify the iris of the first iris image. The method has the advantages that the problem of low accuracy of iris identification in the prior art is solved, and the effect of improving the iris identification accuracy is improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for iris recognition. Background technique [0002] The iris is a ring-like structure such as figure 1 As shown, the iris 11' is located between the pupil 12' and the sclera 13', the outer circle of the iris 14' and the inner circle of the iris 15', due to the occlusion of the eyelids and eyelashes 16', a part of the iris information is lost. The iris is about 12mm in diameter and about 0.5mm thick. From the point of view of identification, those interlaced subtle features similar to filaments, stripes and other shapes are the uniqueness of the iris. These features are usually texture features of the iris and are used for iris recognition. [0003] In the prior art, after iris image preprocessing, considering the iris translation, rotation, scale change and other issues, it is necessary to normalize the iris to eliminate the inconsistency of the size of the ...

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Problems solved by technology

[0005] Aiming at the problem in the related art that the rotation angle of the eyes in the image cannot be judged during iris recognition, resulting in low accuracy of iris recognition, no effective solution has been proposed at present. Therefore, the main purpose of the present invention is to provide a method for iris recognition and means to solve the above problem

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