CN109948513A - Iris identification method and device - Google Patents
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- CN109948513A CN109948513A CN201910199167.8A CN201910199167A CN109948513A CN 109948513 A CN109948513 A CN 109948513A CN 201910199167 A CN201910199167 A CN 201910199167A CN 109948513 A CN109948513 A CN 109948513A
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Abstract
The embodiment of the present invention provides a kind of iris identification method and device, applied to electronic equipment, the electronic equipment includes rotatable photographic device, the described method includes: acquiring target image by the photographic device, and according to the target image, the photographic device rotation is controlled, so that the target image that the photographic device is got includes eyes image；When the target image for determining that the photographic device is got includes eyes image, images to be recognized is acquired by the photographic device, the images to be recognized includes eye image；Iris recognition is carried out according to the images to be recognized.The accuracy for acquiring iris feature information is improved, and then improves the success rate that electronic equipment carries out iris recognition.
Description
Technical Field
The embodiment of the invention relates to the field of iris recognition, in particular to an iris recognition method and device.
Background
Currently, terminal devices (e.g., cell phones, access control systems, etc.) may employ iris recognition to determine the identity of a user.
In the prior art, the process of determining the identity of the user by the terminal device through iris recognition may include: the eyes of the user are over against the camera device of the terminal equipment, the camera device shoots the eyes of the user so that the camera device can obtain all eye images of the user, the terminal equipment obtains accurate iris characteristic information according to all the eye images, and the identity of the user is determined according to the iris characteristic information.
In the above process, the position of the camera device in the terminal device is fixed, and when the user uses the camera device with the fixed position to shoot the eyes of the user, if the eyes of the user are not directly opposite to the camera device, the terminal device cannot accurately acquire the iris feature information, so that the iris recognition fails.
Disclosure of Invention
The embodiment of the invention provides an iris identification method and device, which can accurately acquire iris characteristic information so as to improve the success rate of iris identification.
In a first aspect, an embodiment of the present invention provides an iris identification method, which is applied to an electronic device, where the electronic device includes a rotatable image capturing apparatus, and the method includes:
acquiring a target image through the camera device, and controlling the camera device to rotate according to the target image so that the target image acquired by the camera device comprises an eye image;
when the target image acquired by the camera device is determined to comprise an eye image, acquiring an image to be identified by the camera device, wherein the image to be identified comprises the eye image;
and carrying out iris recognition according to the image to be recognized.
In a possible embodiment, the acquiring, by the imaging device, a target image and controlling the imaging device to rotate according to the target image so that the target image acquired by the imaging device includes an eye image includes:
performing an image acquisition operation, the image acquisition step comprising acquiring the target image;
executing judgment operation, wherein the judgment operation comprises the step of judging whether the similarity between the target image and a preset image is greater than or equal to a preset threshold value, and the preset image is a pre-recorded reference image for iris recognition;
when the similarity between the target image and the preset image is smaller than the preset threshold value, executing control operation, wherein the control operation comprises the step of controlling the camera device to rotate;
and repeatedly executing the image acquisition operation, the judgment operation and the control operation until the similarity between the target image and the preset image is greater than or equal to the preset threshold value.
In another possible embodiment, the control operation is performed, including:
determining a direction to be rotated according to the target image and the preset image;
and controlling the camera device to rotate according to the direction to be rotated.
In another possible embodiment, the controlling the camera to rotate according to the direction to be rotated includes:
acquiring a to-be-rotated angle;
and controlling the camera device to rotate the angle to be rotated according to the direction to be rotated.
In a further possible embodiment of the method according to the invention,
the rotation angle to be detected is a preset rotation angle; or,
the rotation angle to be used is the rotation angle with the highest use frequency in the rotation angles used by the electronic equipment for controlling the camera device to rotate in the historical time period.
In another possible implementation manner, the performing iris recognition according to the image to be recognized includes:
determining iris characteristic information according to the image to be identified, wherein the iris characteristic information comprises boundary information between the iris and the sclera, boundary information between the iris and the pupil, and boundary information between the iris and the upper eyelid and the lower eyelid;
and carrying out iris recognition according to the iris characteristic information and preset iris characteristic information, wherein the preset iris characteristic information is obtained according to the preset image.
In a second aspect, an embodiment of the present invention provides an iris identification apparatus, including: an acquisition module, a control module, and an identification module, wherein,
the acquisition module is used for acquiring a target image;
the control module is used for controlling the acquisition module to rotate according to the target image so that the target image acquired by the acquisition module comprises an eye image;
the acquisition module is further used for acquiring an image to be identified when the target image acquired by the acquisition module is determined to comprise an eye image, wherein the image to be identified comprises the eye image;
and the identification module is used for carrying out iris identification according to the image to be identified.
In a possible implementation, the control module is specifically configured to:
performing an image acquisition operation, the image acquisition step comprising acquiring the target image;
executing judgment operation, wherein the judgment operation comprises the step of judging whether the similarity between the target image and a preset image is greater than or equal to a preset threshold value, and the preset image is a pre-recorded reference image for iris recognition;
when the similarity between the target image and the preset image is smaller than the preset threshold value, executing control operation, wherein the control operation comprises the step of controlling the acquisition module to rotate;
and repeatedly executing the image acquisition operation, the judgment operation and the control operation until the similarity between the target image and the preset image is greater than or equal to the preset threshold value.
In another possible embodiment, the control module is further configured to:
determining a direction to be rotated according to the target image and the preset image;
and controlling the acquisition module to rotate according to the direction to be rotated.
In another possible embodiment, the control module is further configured to:
acquiring a to-be-rotated angle;
and controlling the acquisition module to rotate the angle to be rotated according to the direction to be rotated.
In a further possible embodiment of the method according to the invention,
the rotation angle to be detected is a preset rotation angle; or,
the rotation angle to be used is the rotation angle with the highest use frequency in the rotation angles used by the electronic equipment for controlling the camera device to rotate in the historical time period.
In another possible implementation manner, the identification module is specifically configured to:
determining iris characteristic information according to the image to be identified, wherein the iris characteristic information comprises boundary information between the iris and the sclera, boundary information between the iris and the pupil, and boundary information between the iris and the upper eyelid and the lower eyelid;
and carrying out iris recognition according to the iris characteristic information and preset iris characteristic information, wherein the preset iris characteristic information is obtained according to the preset image.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor coupled with a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the electronic device to perform the method of any of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a readable storage medium, which includes a program or instructions, and when the program or instructions are run on a computer, the method according to any one of the first aspect is performed.
According to the iris identification method and device provided by the embodiment of the invention, the target image is acquired through the camera device, the camera device is controlled to rotate according to the target image, so that the target image acquired by the camera device comprises the eye image, when the target image acquired by the camera device is determined to comprise the eye image, the image to be identified is acquired through the camera device, the image to be identified comprises the eye image, and iris identification is carried out according to the image to be identified. In the process, the camera device is controlled to rotate, when the target image acquired by the camera device comprises an eye image, the camera device acquires an image to be recognized, the electronic equipment determines iris characteristic information according to the image to be recognized, the accuracy of the acquired iris characteristic information is improved, and the success rate of iris recognition of the electronic equipment is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of an iris identification method according to an embodiment of the present invention;
fig. 2 is a first schematic flow chart of an iris identification method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of an iris identification method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an image pickup apparatus according to an embodiment of the present invention;
fig. 5 is a schematic rotation diagram of two image capturing devices according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an iris recognition apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic view of an application scenario of an iris identification method according to an embodiment of the present invention. Referring to fig. 1, a rotatable camera 11 is disposed in an electronic device 10, the camera 11 is configured to collect an image to be recognized of an object, and the electronic device 10 is configured to determine iris feature information (e.g., boundary information between an iris and a sclera) according to the image to be recognized to perform iris recognition.
In practical applications, when the image capturing device 11 captures a face of a subject to obtain a target image, if the target image obtained by the image capturing device 11 includes a part of an image of one eye, the image capturing device 11 may be controlled to rotate until the target image obtained by the image capturing device 11 includes all images of one eye. When the target image acquired by the camera device 11 includes all images of one eye, the image to be recognized of the object is acquired by the camera device 11, and the electronic device 10 can determine accurate iris feature information according to the image to be recognized and perform iris recognition according to the accurate iris feature information. In the process, the camera device is controlled to rotate, when the target image acquired by the camera device comprises all images of one eye, the camera device acquires the image to be recognized, the accuracy of the electronic equipment for determining the iris characteristic information according to the image to be recognized can be improved, and the success rate of the electronic equipment for iris recognition is further improved.
The technical means shown in the present application will be described in detail below with reference to specific examples. It should be noted that the following embodiments may be combined with each other, and the description of the same or similar contents in different embodiments is not repeated.
Fig. 2 is a first flowchart of an iris identification method according to an embodiment of the present invention. Referring to fig. 2, the iris recognition method includes:
s201, collecting a target image through a camera device, and controlling the camera device to rotate according to the target image so that the target image obtained by the camera device comprises an eye image.
Optionally, an execution subject of the embodiment of the present invention is an electronic device, and may also be an iris recognition apparatus disposed in the electronic device, where the iris recognition apparatus may be implemented by a combination of software and/or hardware.
Optionally, the electronic device may be a mobile phone, a computer, or an access control system.
Optionally, the electronic device is provided with at least one camera device, and a rotation motor is arranged inside the camera device.
Optionally, the camera device may be a camera module or an infrared module.
Optionally, the rotation motor may rotate, and in the process of rotating one rotation motor, one image pickup device may be driven to rotate.
In practical application, the camera device has a preset rotation angle range, can rotate within the preset rotation angle range, and acquires a target image after the rotation.
For example, the rotation angle range may be 20 degrees, 50 degrees, or the like. Specifically, in the present application, the size of the rotation angle range is not limited.
Optionally, the preset image is stored in the electronic device, and the similarity between the preset image and the target image may be determined first, and then the camera device is controlled to rotate within the preset rotation angle range according to the size of the similarity, so that the target image acquired by the camera device includes the eye image.
Alternatively, the target image is an image of a subject, which may include a partial image of the eyes of the subject, for example, a left partial image of the left eye of the subject, which may be a human being or an animal.
Optionally, the preset image is one or more reference images for iris recognition, which are pre-recorded, and the preset image may include all images of both eyes of the subject.
S202, when the target image acquired by the camera device comprises the eye image, acquiring an image to be recognized by the camera device, wherein the image to be recognized comprises the eye image.
Optionally, the image to be recognized includes an eye image of at least one eye of the object.
Optionally, the eye image includes a pupil image, an iris image, a sclera image, and upper and lower eyelid images.
Optionally, the image to be recognized may further include an eyebrow image, a nose image, an ear image, and the like of the subject.
And S203, carrying out iris recognition according to the image to be recognized.
In practical application, the electronic device can acquire an image to be recognized acquired by the camera device and determine iris characteristic information according to the image to be recognized.
Optionally, the electronic device may determine the preset iris feature information according to the preset image, and store the preset iris feature information.
Optionally, the iris recognition may be performed according to the iris feature information and preset iris feature information.
According to the iris identification method provided by the embodiment of the invention, the target image is acquired through the camera device, the camera device is controlled to rotate according to the target image, so that the target image acquired by the camera device comprises the eye image, when the target image acquired by the camera device comprises the eye image, the image to be identified is acquired through the camera device, the image to be identified comprises the eye image, and iris identification is carried out according to the image to be identified. In the process, the camera device is controlled to rotate, when the target image acquired by the camera device comprises an eye image, the camera device acquires an image to be recognized, the electronic equipment determines iris characteristic information according to the image to be recognized, the accuracy of acquiring the iris characteristic information is improved, and the success rate of iris recognition of the electronic equipment is further improved.
On the basis of the above-described embodiment, the following describes the technical solution of the application in detail with reference to fig. 3.
Fig. 3 is a schematic flow chart of an iris identification method according to an embodiment of the present invention. Referring to fig. 3, the iris recognition method includes:
s301, collecting a target image.
Optionally, a camera in the electronic device may acquire a target image of the object.
S302, judging whether the similarity between the target image and the preset image is larger than or equal to a preset threshold value.
The preset image is a pre-recorded reference image for iris recognition.
Optionally, the similarity between the target image and the preset image may be determined according to the target image and the preset image, and then it is determined whether the similarity between the target image and the preset image is greater than or equal to a preset threshold.
In practical applications, the similarity between the target image and the preset image may be determined according to image information in the target image and the preset image, such as an eyebrow image, an eye image, and the like.
Alternatively, the similarity may be any number between 0 and 1.
Optionally, when the similarity is any number between 0 and 1, the preset threshold may be 0.6, 0.7, or the like, and specifically, the size of the preset threshold may be determined according to actual requirements.
If not, go to S303.
If yes, S305 is performed.
And S303, determining the direction to be rotated according to the target image and the preset image.
Optionally, when the similarity between the target image and the preset image is smaller than a preset threshold, the direction to be rotated is determined according to the target image and the preset image.
For example, when the target image includes a left partial image of the right eye of the subject and the preset image includes all images of the right eye of the subject, the direction to be rotated is determined to be a rightward rotation, as shown in fig. 5.
For example, when the target image includes all images of the right eye of the subject and the preset image includes all images of the left and right eyes of the subject, the direction to be rotated is determined to be left rotation.
And S304, acquiring the angle to be rotated, and controlling the camera device to rotate the angle to be rotated according to the direction to be rotated.
Optionally, the angle to be rotated may be a preset angle.
Optionally, the preset rotation angle may be any positive number, for example, the preset rotation angle may be 0.1 degree, 0.2 degree, and the like.
Optionally, the angle to be rotated may be the angle with the highest use frequency among the angles used by the electronic device to control the imaging device to rotate in the historical period.
For example, in 5 months, the electronic apparatus controls the image pickup device to rotate a total number of times of 2000 times, wherein the number of times of rotation of the image pickup device is 500 times with a rotation angle of 1 degree, the number of times of rotation of the image pickup device is 500 times with a rotation angle of 3 degrees, and the number of times of rotation of the image pickup device is 1000 times with a rotation angle of 5 degrees, the waiting rotation angle is determined to be 5 degrees.
Optionally, a central processing unit (e.g., a CPU) in the electronic device may obtain a to-be-rotated direction and a to-be-rotated angle, generate a first control signal according to the to-be-rotated direction and the to-be-rotated angle, and send the first control signal to the rotary motor, so that the rotary motor rotates according to the first control signal, and further, the camera device is driven to rotate by the to-be-rotated angle within a preset rotation angle range according to the to-be-rotated direction.
In practical applications, S301 to S304 may be repeatedly executed in sequence until the similarity between the target image and the preset image is greater than or equal to the preset threshold, so that the target image acquired by the imaging device includes the eye image.
S305, when the target image acquired by the camera device is determined to comprise the eye image, acquiring an image to be recognized by the camera device, wherein the image to be recognized comprises the eye image.
Optionally, the execution process of S305 is the same as that of S202, and here, the execution process of S305 is not described again.
S306, according to the image to be recognized, iris characteristic information is determined, wherein the iris characteristic information comprises boundary information between the iris and the sclera, boundary information between the iris and the pupil, and boundary information between the iris and the upper eyelid and the lower eyelid.
Optionally, determining the iris feature information of the object according to the image to be recognized includes: according to the image to be recognized, the iris of the object is positioned, namely boundary information between the iris and the sclera (outer circle boundary information of the iris), boundary information between the iris and the pupil (inner circle boundary information of the iris), and boundary information between the iris and the upper eyelid and the lower eyelid (curve information between the iris and the upper eyelid and the lower eyelid) are determined.
S307, iris recognition is carried out according to the iris characteristic information and preset iris characteristic information, wherein the preset iris characteristic information is obtained according to the preset image.
Optionally, the feature code may be determined according to the iris feature information, the preset feature code may be determined according to the preset iris feature information, and then the iris recognition may be performed according to the feature code and the preset feature code.
Optionally, the feature code of the iris feature information and the preset feature code of the preset iris feature information may be obtained sequentially through image normalization processing, image resolution enhancement processing, and feature extraction processing.
Optionally, the feature code may be compared with a preset feature code, so as to implement iris recognition.
It should be noted that, in the embodiment of the present invention, when the target image acquired by the camera device includes an eye image, the camera device acquires an image to be recognized, and performs iris recognition according to the image to be recognized, so as to improve a success rate of iris recognition and further improve user experience.
In addition to any of the above embodiments, the following briefly describes the imaging apparatus with reference to fig. 4.
Fig. 4 is a schematic structural diagram of an image capturing apparatus according to an embodiment of the present invention. Referring to fig. 4, the camera 12 has a predetermined viewing angle c, and a rotation motor 13 is disposed inside the camera 12, and the rotation motor 13 has a control angle 14.
Alternatively, the preset viewing angle c may be 130 degrees, 170 degrees, or the like.
On the basis of any one of the above embodiments, an embodiment of the present invention further provides a rotation schematic diagram of an electronic device provided with two image capturing apparatuses, please refer to fig. 5.
Fig. 5 is a schematic rotation diagram of two image capturing devices according to an embodiment of the present invention. Referring to fig. 5, a first image capturing device 21 and a second image capturing device 22 are disposed in the electronic apparatus 20, wherein the first image capturing device 21 and the second image capturing device 22 are asymmetric in position with respect to the center line L in the electronic apparatus 20.
Alternatively, the first camera 21 has a preset viewing angle c1, the second camera 22 has a preset viewing angle c2, the first camera 21 can capture the target image within the preset viewing angle c1, and the second camera 22 can capture the target image within the preset viewing angle c 2.
In practical applications, when the CPU in the electronic device 20 determines that the similarity between the target image acquired by the first camera 21 and the preset image is smaller than the preset threshold, the CPU determines the to-be-rotated direction of the first camera 21 (for example, rotating to the right) according to the target image acquired by the first camera 21 and the preset image, and when the CPU in the electronic device 20 determines that the similarity between the target image acquired by the second camera 22 and the preset image is smaller than the preset threshold, the CPU determines the to-be-rotated direction of the second camera 22 (for example, rotating to the left) according to the target image acquired by the second camera 22 and the preset image.
Further, the CPU obtains the angle to be rotated, generates a first control signal according to the angle to be rotated and the direction to be rotated of the first image pickup device 21, generates a second control signal according to the angle to be rotated and the direction to be rotated of the second image pickup device 22, and transmits the first control signal to the rotation motor in the first image pickup device 21 and the second control signal to the rotation motor in the second image pickup device 22.
Then, the rotation motor in the first camera device 21 rotates according to the first control signal, and controls the first camera device 21 to rotate by the angle to be rotated according to the direction to be rotated until the similarity between the target image acquired by the first camera device 21 and the preset image is greater than or equal to the preset threshold, and the target image acquired by the camera device includes a complete eye image (indicating that both eyes are present on the display screen of the electronic device 20). The rotation motor in the second camera device 22 rotates according to the second control signal, and controls the second camera device 22 to rotate by the rotation angle according to the rotation direction, until the similarity between the target image acquired by the second camera device 22 and the preset image is greater than or equal to the preset threshold, the target image acquired by the second camera device 22 includes a complete eye image (indicated by the fact that all of two eyes appear on the display screen of the electronic device).
Alternatively, the first imaging device 21 and the second imaging device 22 may be symmetrical in position with respect to the center line L in the electronic apparatus 20.
Alternatively, the preset viewing angle c1 of the first image capturing device 21 and the preset viewing angle c2 of the second image capturing device 22 may be the same or different.
Optionally, before the first camera 21 and the second camera 22 rotate, the eye image displayed in the electronic device is a combined image of the eye images captured by the first camera 21 and the second camera 22.
For example, the first camera 21 may capture a complete eye image of the left eye and a partial right eye image, the second camera 22 may capture a complete eye image of the right eye and a partial left eye image, and then the partial right eye image and the partial left eye image are displayed in the electronic device.
Alternatively, after the first camera 21 and the second camera 22 are rotated, both the first camera 21 and the second camera 22 may capture a complete eye image (a complete eye image of the left eye and the right eye) of the subject, and display the complete eye image in the electronic device.
Fig. 6 is a schematic structural diagram of an iris recognition apparatus according to an embodiment of the present invention. Referring to fig. 6, the iris recognition apparatus 30 includes: an acquisition module 31, a control module 32, and an identification module 33, wherein,
the acquisition module 31 is used for acquiring a target image;
the control module 32 is configured to control the acquisition module to rotate according to the target image, so that the target image acquired by the acquisition module includes an eye image;
the acquisition module 31 is further configured to acquire an image to be identified when it is determined that the target image acquired by the acquisition module includes an eye image, where the image to be identified includes the eye image;
the recognition module 33 is configured to perform iris recognition according to the image to be recognized.
The iris recognition device provided by the embodiment of the invention can execute the technical scheme shown in the method embodiment, the realization principle and the beneficial effect are similar, and the details are not repeated here.
In a possible implementation, the control module 32 is specifically configured to:
performing an image acquisition operation, the image acquisition step comprising acquiring the target image;
executing judgment operation, wherein the judgment operation comprises the step of judging whether the similarity between the target image and a preset image is greater than or equal to a preset threshold value, and the preset image is a pre-recorded reference image for iris recognition;
when the similarity between the target image and the preset image is smaller than the preset threshold value, executing control operation, wherein the control operation comprises the step of controlling the acquisition module to rotate;
and repeatedly executing the image acquisition operation, the judgment operation and the control operation until the similarity between the target image and the preset image is greater than or equal to the preset threshold value.
In one possible embodiment, the control module 32 is further configured to:
determining a direction to be rotated according to the target image and the preset image;
and controlling the acquisition module to rotate according to the direction to be rotated.
In another possible embodiment, the control module 32 is further configured to:
acquiring a to-be-rotated angle;
and controlling the acquisition module to rotate the angle to be rotated according to the direction to be rotated.
In a further possible embodiment of the method according to the invention,
the rotation angle to be detected is a preset rotation angle; or,
the rotation angle to be used is the rotation angle with the highest use frequency in the rotation angles used by the electronic equipment for controlling the camera device to rotate in the historical time period.
In another possible implementation, the identification module 33 is specifically configured to:
determining iris characteristic information according to the image to be identified, wherein the iris characteristic information comprises boundary information between the iris and the sclera, boundary information between the iris and the pupil, and boundary information between the iris and the upper eyelid and the lower eyelid;
and carrying out iris recognition according to the iris characteristic information and preset iris characteristic information, wherein the preset iris characteristic information is obtained according to the preset image.
An embodiment of the present invention provides an electronic device, including: a processor coupled with a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the electronic device to perform the method according to any of the method embodiments described above.
Embodiments of the invention provide a readable storage medium comprising a program or instructions for performing a method as described in any of the method embodiments above when the program or instructions are run on a computer.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the embodiments of the present invention.
Claims (10)
1. An iris identification method applied to an electronic device including a rotatable camera device, the method comprising:
acquiring a target image through the camera device, and controlling the camera device to rotate according to the target image so that the target image acquired by the camera device comprises an eye image;
when the target image acquired by the camera device is determined to comprise an eye image, acquiring an image to be identified by the camera device, wherein the image to be identified comprises the eye image;
and carrying out iris recognition according to the image to be recognized.
2. The method according to claim 1, wherein the acquiring a target image by the camera device and controlling the camera device to rotate according to the target image so that the target image acquired by the camera device includes an eye image comprises:
performing an image acquisition operation, the image acquisition step comprising acquiring the target image;
executing judgment operation, wherein the judgment operation comprises the step of judging whether the similarity between the target image and a preset image is greater than or equal to a preset threshold value, and the preset image is a pre-recorded reference image for iris recognition;
when the similarity between the target image and the preset image is smaller than the preset threshold value, executing control operation, wherein the control operation comprises the step of controlling the camera device to rotate;
and repeatedly executing the image acquisition operation, the judgment operation and the control operation until the similarity between the target image and the preset image is greater than or equal to the preset threshold value.
3. The method of claim 2, wherein performing the control operation comprises:
determining a direction to be rotated according to the target image and the preset image;
and controlling the camera device to rotate according to the direction to be rotated.
4. The method according to claim 3, wherein the controlling the camera to rotate according to the direction to be rotated comprises:
acquiring a to-be-rotated angle;
and controlling the camera device to rotate the angle to be rotated according to the direction to be rotated.
5. The method of claim 3,
the rotation angle to be detected is a preset rotation angle; or,
the rotation angle to be used is the rotation angle with the highest use frequency in the rotation angles used by the electronic equipment for controlling the camera device to rotate in the historical time period.
6. The method according to any one of claims 1-5, wherein the iris recognition according to the image to be recognized comprises:
determining iris characteristic information according to the image to be identified, wherein the iris characteristic information comprises boundary information between the iris and the sclera, boundary information between the iris and the pupil, and boundary information between the iris and the upper eyelid and the lower eyelid;
and carrying out iris recognition according to the iris characteristic information and preset iris characteristic information, wherein the preset iris characteristic information is obtained according to the preset image.
7. An iris recognition apparatus, comprising: an acquisition module, a control module, and an identification module, wherein,
the acquisition module is used for acquiring a target image;
the control module is used for controlling the acquisition module to rotate according to the target image so that the target image acquired by the acquisition module comprises an eye image;
the acquisition module is further used for acquiring an image to be identified when the target image acquired by the acquisition module is determined to comprise an eye image, wherein the image to be identified comprises the eye image;
and the identification module is used for carrying out iris identification according to the image to be identified.
8. The apparatus of claim 7, wherein the control module is specifically configured to:
performing an image acquisition operation, the image acquisition step comprising acquiring the target image;
executing judgment operation, wherein the judgment operation comprises the step of judging whether the similarity between the target image and a preset image is greater than or equal to a preset threshold value, and the preset image is a pre-recorded reference image for iris recognition;
when the similarity between the target image and the preset image is smaller than the preset threshold value, executing control operation, wherein the control operation comprises the step of controlling the acquisition module to rotate;
and repeatedly executing the image acquisition operation, the judgment operation and the control operation until the similarity between the target image and the preset image is greater than or equal to the preset threshold value.
9. The apparatus of claim 8, wherein the control module is further configured to:
determining a direction to be rotated according to the target image and the preset image;
and controlling the acquisition module to rotate according to the direction to be rotated.
10. The apparatus of claim 9, wherein the control module is further configured to:
acquiring a to-be-rotated angle;
and controlling the acquisition module to rotate the angle to be rotated according to the direction to be rotated.
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