Identity identification method and device, equipment and storage medium

A technology of identity recognition and center position, which is applied in the field of image processing and can solve problems such as poor real-time performance

Inactive Publication Date: 2018-10-16
SHENZHEN HUIYE COMM TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The identification method, device, equipment and storage medium provided by the embodiments of the present invention solve the technical problem of poor real-time performance of iris-based identification means in the prior art

Method used

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  • Identity identification method and device, equipment and storage medium
  • Identity identification method and device, equipment and storage medium
  • Identity identification method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] figure 2 It is a flow chart of the identification method provided by Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the situation of identification through iris texture. The method can be executed by the iris-based identification device provided by the embodiment of the present invention, and the device can be implemented in the form of software and / or hardware, and configured to be applied in a processor. Such as figure 2 As shown, the method specifically includes the following steps:

[0047] S101. Acquire a grayscale histogram corresponding to a grayscale image of an eye image.

[0048] Obtain the eye image of the object to be recognized through the camera, and then obtain the grayscale image of the eye image and the grayscale histogram of the grayscale image through image processing.

[0049] S102. Determine a first grayscale threshold according to peak positions of the pupil and iris in the grayscale histogra...

Embodiment 2

[0067] image 3 It is a flow chart of the identification method provided by Embodiment 2 of the present invention. Such as image 3 As shown, the embodiment of the present invention adds an image quality judgment step on the basis of the foregoing embodiments.

[0068] In order to improve the accuracy of identification, it is usually necessary to ensure that the analyzed eye image carries enough target information, so it is necessary to ensure that the eye image has a high image quality. To ensure that the target image has high image quality, such as image 3 As shown, before obtaining the grayscale histogram corresponding to the grayscale image of the eye image, this embodiment also includes:

[0069] S1001. Acquire a grayscale image of an eye image.

[0070] S1002. When the entropy of the gray-scale co-occurrence matrix of the gray-scale image to be analyzed exceeds the preset entropy range, stop the identification step based on the current eye image.

[0071] In this e...

Embodiment 3

[0080] Figure 4 It is a structural block diagram of the iris-based identification device provided by Embodiment 3 of the present invention. The device is used to execute the identification method provided by any of the above embodiments, and the control device may be implemented in software or hardware. Such as Figure 4 As shown, the device includes:

[0081] Grayscale histogram acquisition module 11, used to acquire the grayscale histogram corresponding to the grayscale image of the eye image;

[0082] A mask image acquisition module 12, configured to determine a first grayscale threshold according to the peak positions of the pupil and iris in the grayscale histogram, and determine a pupil mask image according to the first grayscale threshold;

[0083] A pupil parameter acquisition module 13, configured to determine the pupil parameter according to the projection of the pupil mask image on a two-dimensional coordinate axis;

[0084] The inner boundary parameter determi...

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PUM

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Abstract

The embodiment of the invention discloses an identity identification method and device, equipment and a storage medium. The method comprises the following steps that: obtaining a grey level histogramcorresponding to the grey level image of an eye image; according to the wave crest positions of a pupil and an iris in the grey level histogram, determining a first grey level threshold value, and according to the first grey level threshold value, determining an iris mask image; according to the projection of the iris mask image on a two-dimensional coordinate axis, determining pupil parameters; if an internal and external eccentricity determined on the basis of the pupil parameters is not greater than a preset eccentricity threshold value, according to the projection of the grey level image on the two-dimensional coordinate axis, and the first grey level threshold value, determining the internal boundary parameter of the iris; according to the internal boundary parameter, determining theiris external boundary parameter in the grey level image; and according to the internal boundary parameter and the external boundary parameter, determining an iris area in the grey level image, and carrying out identity identification on the basis of the iris area. By use of the method, the technical problem of poor identity identification means instantaneity on the basis of the iris in the priorart is solved, and the speed of identity identification based on the iris is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image processing, and in particular to an identification method, device, equipment and storage medium. Background technique [0002] The iris is a ring-like structure such as figure 1 As shown, the iris 02 is located between the pupil 01 and the sclera 03, specifically the part between the iris outer circle 012 and the iris inner circle 023. Due to the occlusion of the eyelids and eyelashes 04, 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 often called texture features of the iris and are used for iris recognition. [0003] In the prior art, it is difficult to realize real-time identification of identity by means of iris-based identification. Contents of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/193G06V10/48G06V10/507
Inventor 杨广福
Owner SHENZHEN HUIYE COMM TECH
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