Iris recognition method and terminal

Abstract

The embodiment of the invention provides an iris recognition method and terminal, and relates to the technical field of terminals. The method and terminal can improve the accuracy and robustness of iris recognition. The method comprises the steps: enabling the terminal to carry out the contour detection of an iris region of eyes, determining the rotation angle of the eyes through an angle between the connection line of the pupils of the eyes and the horizontal direction, and obtaining the parabola of an eyelid based on the rotation angle and the position of an external contour; removing an eyelid region according to the position of the external contour and the parabola of the eyelid, carrying out the eyelash detection and highlight interference detection, so as to remove an eyelash region and a highlight point and obtain an iris image; generating a mask image according to the iris image, and obtaining an iris unfolded image and a mask unfolded image; extracting local weight histogram characteristics according to the iris unfolded image, calculating the exterior product tensor sequence features, and taking the exterior product tensor sequence features as the iris texture of the iris image; carrying out the feature matching according to the iris pattern obtained through modeling and the mask unfolded image, so as to determine a matching result. The method is suitable for the iris recognition.

Description

technical field [0001] The present application relates to the technical field of terminals, in particular to an iris recognition method and a terminal. Background technique [0002] Currently, the terminal can verify the user's identity through iris recognition. For iris recognition, it is mainly used in ideal scenarios, and has a high degree of dependence on the user's cooperation. It requires the user to cooperate highly with the acquisition device during the recognition process, and to stare at the camera as required for image acquisition under static conditions. With the widespread application of terminals, users are eager to perform identity authentication conveniently in a more casual posture and in a changeable actual environment. In this case, the quality of the collected images is significantly reduced, and there are significant interferences such as rotation, squint, and illumination changes, as well as motion blur and image out-of-focus, which pose new challenges...

AI Technical Summary

Problems solved by technology

Due to the limitations of the acquisition equipment and acquisition conditions, as well as the randomness of the user's acquisition posture, the quality of the acquired image is low, the definition of iris texture is reduced, the edge of the iris becomes blurred, and eyelid occlusion, eye strabismus, eyelash interference and glasses interference are also introduced. A lot of noise makes iris segmentation very difficult, and iris feature extraction is based on a good iris segmentation effect, which causes great difficulties for subsequent feature extraction and matching

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