WO2019015432A1 - 识别虹膜活体的方法及相关产品 - Google Patents

识别虹膜活体的方法及相关产品 Download PDF

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Publication number
WO2019015432A1
WO2019015432A1 PCT/CN2018/091868 CN2018091868W WO2019015432A1 WO 2019015432 A1 WO2019015432 A1 WO 2019015432A1 CN 2018091868 W CN2018091868 W CN 2018091868W WO 2019015432 A1 WO2019015432 A1 WO 2019015432A1
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WO
WIPO (PCT)
Prior art keywords
human eye
eye image
iris
image
quadrilateral pattern
Prior art date
Application number
PCT/CN2018/091868
Other languages
English (en)
French (fr)
Inventor
唐城
张学勇
周意保
周海涛
Original Assignee
Oppo广东移动通信有限公司
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Filing date
Publication date
Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Publication of WO2019015432A1 publication Critical patent/WO2019015432A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
    • H04M1/724631—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device by limiting the access to the user interface, e.g. locking a touch-screen or a keypad
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40—Spoof detection, e.g. liveness detection
    • G06V40/45—Detection of the body part being alive
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device

Definitions

  • the present invention relates to the field of mobile terminal technologies, and in particular, to a method for identifying an iris living body and related products.
  • the iris is easily forged and has low safety. For example, after the criminals obtain the photo of the owner of the mobile phone, they can use the photo of the owner's eye to perform iris recognition. It can be seen that the current iris recognition is less secure.
  • Embodiments of the present invention provide a method for identifying an iris living body and related products, which can improve the safety of iris recognition.
  • a first aspect of the embodiments of the present invention provides a method for identifying an iris living body, which is applied to a mobile terminal including an iris camera, a front camera, and an application processor AP, and the method includes:
  • the iris image is collected by the iris camera, and the first human eye image is acquired by the front camera;
  • the collected iris image is determined to be a living iris image.
  • a second aspect of the embodiments of the present invention provides a mobile terminal, including an iris camera, a front camera, and an application processor AP, where:
  • the iris camera is configured to collect an iris image when receiving an iris acquisition instruction
  • the front camera is configured to collect a first human eye image when receiving the iris acquisition instruction
  • the AP is configured to identify whether the first human eye image includes a quadrilateral pattern
  • the AP is further configured to determine that the collected iris image is a living iris image when the first human eye image includes a quadrilateral pattern.
  • a third aspect of the embodiments of the present invention provides a mobile terminal, including an iris camera, a front camera, an application processor AP, and a memory, where the memory is used to store one or more programs, and the one or more programs are configured to Executed by the AP, the program includes instructions for performing the following steps:
  • the collected iris image is determined to be a living iris image.
  • a fourth aspect of the embodiments of the present invention provides a mobile terminal, where the mobile terminal includes an acquisition unit, an identification unit, and a determining unit, where:
  • the collecting unit is configured to collect an iris image through an iris camera when receiving an iris acquisition instruction, and simultaneously acquire a first human eye image through a front camera;
  • the identification unit is configured to identify whether the first human eye image includes a quadrilateral pattern
  • the determining unit is configured to determine, when the recognition unit includes the quadrilateral pattern in the first human eye image, the collected iris image as a living iris image.
  • a fifth aspect of embodiments of the present invention provides a computer readable storage medium for storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform a first aspect of an embodiment of the present invention Some or all of the steps described in either method.
  • a sixth aspect of the embodiments of the present invention provides a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform an embodiment of the present invention
  • the front camera can be used to collect the first human eye image, and the first human eye image is included in the first human eye image, and the quadrilateral pattern is moved.
  • the image formed by the terminal in the eyeball if the image of the first human eye is included in the quadrilateral pattern, indicates that the user is performing human eye recognition on the mobile terminal, and the collected iris image is a living iris image, which is utilized by the embodiment of the present invention.
  • the inverted image of the mobile terminal formed in the eyeball of the human eye identifies whether the collected iris image is a living iris image, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve the safety of iris recognition.
  • FIG. 1a is a schematic diagram of the working principle of iris recognition disclosed in an embodiment of the present invention.
  • FIG. 1b is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • FIG. 1c is a schematic structural diagram of a human eye image taken by a front camera according to an embodiment of the present invention
  • FIG. 1 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • FIG. 2 is a schematic flow chart of a method for identifying an iris living body according to an embodiment of the present invention
  • FIG. 3 is a schematic flow chart of another method for identifying an iris living body according to an embodiment of the present invention.
  • FIG. 4 is a schematic flow chart of another method for identifying an iris living body according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of another mobile terminal according to an embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of another mobile terminal according to an embodiment of the present disclosure.
  • FIG. 7 is a schematic structural diagram of still another mobile terminal according to an embodiment of the present invention.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the mobile terminal involved in the embodiments of the present invention may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user equipment (User Equipment, UE), mobile station (MS), terminal device, and the like.
  • UE User Equipment
  • MS mobile station
  • terminal device and the like.
  • the devices mentioned above are collectively referred to as mobile terminals.
  • FIG. 1a is a schematic diagram of the working principle of iris recognition according to an embodiment of the present invention.
  • the iris recognition in FIG. 1a is applied to a mobile terminal, and the mobile terminal takes a mobile phone as an example.
  • the iris camera 110, the front camera 120, and the display screen 130 are all disposed on the front side of the mobile phone 10, wherein the iris camera 110 is used to collect iris images, and the front camera 120 is used to collect human eye images.
  • the iris image is processed by an Application Processor (AP) 140 and the processed iris image is verified in the background.
  • AP Application Processor
  • the human eye image is used by the AP 140 for identification to confirm whether the iris image acquired by the front camera 120 is a living iris image. Among them, the AP140 cannot be directly seen from the appearance of the mobile phone 10, so it is indicated by a broken line in Fig. 1a.
  • FIG. 1b is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • the mobile terminal 100 includes an application processor (AP) 101, an iris camera 102, and a front end.
  • the camera 103 is connected to the iris camera 102 and the front camera 103 via the bus 104.
  • the iris camera 102 is configured to collect an iris image when the mobile terminal 100 receives the iris acquisition instruction.
  • the front camera 103 is configured to collect the first human eye image when the mobile terminal 100 receives the iris acquisition instruction.
  • the mobile terminal 100 can receive an iris acquisition instruction triggered based on an input operation of the user on the touch display screen. For example, when the application scene is a screen unlocking scene, when the touch screen is illuminated, a selection prompt box may be popped up on the touch screen for guiding the user to select “iris recognition”, “fingerprint recognition” and “face”. Identify one of them. When the user clicks on "Iris Recognition" in the selection prompt box, an iris acquisition command can be triggered. The mobile terminal 100 can also trigger the generation of an iris acquisition command upon detecting that the user picks up the mobile terminal 100.
  • the application scenario is a screen unlocking scene
  • the posture sensor of the mobile terminal 100 for example, a gravity sensor, a three-axis gyroscope, a three-axis acceleration sensor, etc.
  • the posture sensor of the mobile terminal 100 detects that the user has raised the action of the mobile terminal 100, the movement can be triggered.
  • the terminal 100 generates an iris acquisition command.
  • the first human eye image may include a left eye image and a right eye image of the user, and may also include only the left eye image or the right eye image of the user.
  • the AP 101 is configured to identify whether a quadrilateral pattern is included in the image of the first human eye.
  • the AP 101 is further configured to determine that the collected iris image is a living iris image when the first human eye image includes a quadrilateral pattern.
  • the scenario applied by the embodiment of the present invention is a living body recognition scene when the user performs iris recognition.
  • the front camera 103 captures the first human eye image of the user. Since the user performs iris recognition, the user's eyes must stare at the mobile terminal. The image of the mobile terminal is presented in the user's eye.
  • the quadrilateral pattern in FIG. 1c is the image of the mobile terminal presented in the user's eyeball. Since the mobile terminal is generally designed as a rectangle, a quadrilateral pattern is formed in the user's eyeball (a different quadrilateral may be present according to the shooting angle). If the criminal uses the user's photo to impersonate the living body, the human eye image captured by the front camera 103 does not include a quadrilateral pattern, and only contains a circular or elliptical pattern.
  • the AP 101 identifies whether the quadrilateral pattern is included in the image of the first human eye, and specifically:
  • the AP101 denoises the first human eye image by using a Gaussian denoising algorithm to obtain a denoised first human eye image;
  • the AP 101 performs image enhancement processing on the denoised first human eye image to determine whether a quadrilateral pattern is included in the denoised first human eye image.
  • the quadrilateral pattern may be a quadrilateral pattern having a higher luminance value or a quadrilateral pattern having a lower luminance value. If the front camera 103 captures the first human eye image, the display screen of the mobile terminal lights up, the quadrilateral pattern is a quadrilateral pattern with a higher brightness value; if the front camera 103 captures the first human eye image, the display of the mobile terminal When the screen is off, the quadrilateral pattern is a quadrilateral pattern with a low luminance value.
  • the AP 101 is further configured to determine that the collected iris image is a non-living iris image when the first human eye image does not include a quadrilateral pattern.
  • the non-living iris image may include a printed photo.
  • the AP 101 determines that the acquired iris image is a non-living iris image.
  • the mobile terminal 100 further includes a front flash 105
  • the front camera 103 is further configured to collect the front flash 105 when the first human eye image does not include a quadrilateral pattern. Two-person eye image.
  • the AP 101 is further configured to determine whether an absolute value of a difference between an eyeball area ratio in the first human eye image and an eyeball area ratio in the second human eye image is greater than a preset threshold.
  • the AP 101 is further configured to: when the absolute value of the difference between the eyeball area ratio in the first human eye image and the eyeball area ratio in the second human eye image is greater than a preset threshold, determine that the collected iris image is a living iris image.
  • the front camera 103 collects the second human eye image, and the AP 101 determines the eyeball area ratio and the second in the first human eye image. Whether the absolute value of the difference of the eyeball area ratio in the human eye image is greater than a preset threshold, and if so, determining that the collected iris image is a living iris image.
  • the proportion of the eyeball area is the ratio of the area of the eyeball area in the human eye image to the area of the entire human eye image.
  • the AP 101 determines whether the absolute value of the difference between the eyeball area ratio in the first human eye image and the eyeball area ratio in the second human eye image is greater than a preset threshold, in order to determine whether the collected human eye image is a living body.
  • the human eye image that is, the object photographed by the front camera 103 is a living body. If the object to be photographed is a living body, after the current flash 105 is turned on, the pupil of the human eye in the second human eye image taken by the front camera 103 is shrunk by strong light stimulation, and therefore, the proportion of the eyeball area in the first human eye image is proportional.
  • the ratio of the eyeball area in the second human eye image changes greatly, and the absolute value of the difference between the eyeball area ratio in the first human eye image and the eyeball area ratio in the second human eye image is greater than the preset value. Threshold. If the object to be photographed is not a living body (such as a dead eye or a photo, etc.), the proportion of the eyeball area in the image of the first human eye and the proportion of the eyeball area in the image of the second human eye generally do not change greatly, the first human eye The absolute value of the difference between the eyeball area ratio in the image and the eyeball area ratio in the second human eye image is less than a preset threshold.
  • whether the proportion of the eyeball area in the human eye image captured by the front camera is greater than a preset threshold is determined by the front flash in both the closed state and the open state, and whether the collected iris image is a living iris image is determined.
  • the living body recognition algorithm is simple.
  • the absolute value of the difference between the eyeball area ratio in the first human eye image and the eyeball area ratio in the second human eye image is less than or equal to a preset threshold, it indicates that the front camera is different.
  • the image of the human eye captured under the light intensity is small, and the collected iris image can be considered as a non-living iris image.
  • the AP 101 is further configured to: when the first human eye image includes a quadrilateral pattern, output prompt information, where the prompt information is used to prompt the user to change the shooting angle.
  • the front camera 103 is also used to collect a third human eye image.
  • the AP 101 is further configured to identify whether a quadrilateral pattern is included in the third human eye image.
  • the AP 101 is further configured to determine whether the degree of difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image reaches a preset degree of difference when the third human eye image includes a quadrilateral pattern.
  • the AP 101 is further configured to determine that the collected iris image is a living iris image when the degree of difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image reaches a preset degree of difference.
  • the embodiment of the present invention captures different human eye images at different angles, and the quadrilateral pattern in the first human eye image is captured due to shooting at different angles.
  • the quadrilateral pattern in the third human eye image differs in shape, size, and position, while the self-portrait photo is impersonated without distinction.
  • the difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image includes:
  • the quadrilateral pattern in the first human eye image occupies a difference value of the ratio of the eyeball region in the first human eye image to the ratio of the quadrilateral pattern in the third human eye image to the eyeball region in the third human eye image.
  • the degree of difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image includes the difference value of the area and the difference value of the position, when the comparison is performed later, the degree of difference is The sum of the difference values between the two. If the degree of difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image includes the difference value of the area, the difference value of the position, and the difference value of the ratio, the difference is three when the comparison is performed later. The sum of the difference values.
  • the quadrilateral pattern is a pattern formed by the mobile terminal imaging in the eyeball.
  • the quadrilateral pattern may be a quadrilateral pattern having a higher luminance value or a quadrilateral pattern having a lower luminance value.
  • the mobile terminal shown in FIG. 1b can be used to identify whether the collected iris image is a living iris image by using an inverted image of the mobile terminal formed in the eyeball of the human eye, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve iris recognition. safety.
  • FIG. 2 is a schematic flow chart of a method for identifying an iris living body according to an embodiment of the present invention. The method is applied to a mobile terminal including an iris camera, a front camera, and an application processor AP. As shown in FIG. 2, the method includes the following steps.
  • the mobile terminal When receiving the iris acquisition command, the mobile terminal collects the iris image through the iris camera, and simultaneously collects the first human eye image through the front camera.
  • the mobile terminal identifies whether a quadrilateral pattern is included in the first human eye image. If yes, go to step 203. If no, go to step 204.
  • the mobile terminal determines that the collected iris image is a living iris image.
  • the mobile terminal determines that the collected iris image is a non-living iris image.
  • the inverted image of the mobile terminal formed in the eyeball of the human eye can be used to identify whether the collected iris image is a living iris image, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve the safety of iris recognition. Sex.
  • FIG. 3 is a schematic flow chart of another method for identifying an iris living body according to an embodiment of the present invention.
  • the method is applied to a mobile terminal including an iris camera, a front camera, a front flash, and an application processor AP, the method comprising the following steps.
  • the mobile terminal When receiving the iris acquisition command, the mobile terminal collects the iris image through the iris camera, and simultaneously collects the first human eye image through the front camera.
  • the mobile terminal identifies whether the first human eye image includes a quadrilateral pattern. If yes, go to step 303, if no, go to step 304.
  • the mobile terminal determines that the collected iris image is a living iris image.
  • the mobile terminal acquires a second human eye image when the front flash is turned on by the front camera.
  • the mobile terminal determines whether an absolute value of a difference between an eyeball area ratio in the first human eye image and an eyeball area ratio in the second human eye image is greater than a preset threshold. If yes, go to step 303. If no, go to step 306.
  • the mobile terminal determines that the collected iris image is a non-living iris image.
  • the inverted image of the mobile terminal formed in the eyeball of the human eye can be used to identify whether the collected iris image is a living iris image, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve the safety of iris recognition. Sex.
  • FIG. 4 is a schematic flow chart of another method for identifying an iris living body according to an embodiment of the present invention.
  • the method is applied to a mobile terminal including an iris camera, a front camera, and an application processor AP, the method comprising the following steps.
  • the mobile terminal When receiving the iris acquisition instruction, the mobile terminal collects the iris image through the iris camera, and simultaneously collects the first human eye image through the front camera.
  • the mobile terminal identifies whether a quadrilateral pattern is included in the first human eye image. If yes, go to step 403. If no, go to step 408.
  • the mobile terminal outputs prompt information, where the prompt information is used to prompt the user to change the shooting angle.
  • the mobile terminal acquires a third human eye image through the front camera.
  • the mobile terminal identifies whether a quadrilateral pattern is included in the third human eye image. If yes, go to step 406. If no, go to step 408.
  • the mobile terminal determines whether the degree of difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image reaches a preset degree of difference. If yes, go to step 407, if no, go to step 408.
  • the mobile terminal determines that the collected iris image is a living iris image.
  • the mobile terminal determines that the collected iris image is a non-living iris image.
  • the inverted image of the mobile terminal formed in the eyeball of the human eye can be used to identify whether the collected iris image is a living iris image, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve the safety of iris recognition. Sex.
  • FIG. 5 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • the mobile terminal 500 includes an iris camera 501, a front camera 502, an application processor AP503, and a memory 504.
  • the iris camera 501, the front camera 502, the application processor AP 503, and the memory 504 can be connected by a communication bus 505, and the memory 505 is used for storage.
  • One or more programs, one or more programs are configured to be executed by the AP 504, the program including instructions for performing the following steps:
  • the iris image is acquired by the iris camera 501, and the first human eye image is acquired by the front camera 502;
  • the collected iris image is a living iris image.
  • the mobile terminal further includes a front flash
  • the program further includes instructions for performing the following steps:
  • the front camera 502 collects the second human eye image when the front flash is turned on;
  • the step of determining the collected iris image as the living iris image is performed.
  • the program also includes instructions for performing the following steps:
  • the prompt information is output, and the prompt information is used to prompt the user to change the shooting angle;
  • the third human eye image includes a quadrilateral pattern, it is determined whether the difference degree between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image reaches a preset difference degree;
  • the step of determining the acquired iris image as a living iris image is performed.
  • the difference between the quadrilateral pattern in the first human eye image and the quadrilateral pattern in the third human eye image includes:
  • the quadrilateral pattern in the first human eye image occupies a difference value of the ratio of the eyeball region in the first human eye image to the ratio of the quadrilateral pattern in the third human eye image to the eyeball region in the third human eye image.
  • the quadrilateral pattern is a pattern formed by the mobile terminal imaging in the eyeball.
  • the mobile terminal shown in FIG. 5 can use the inverted image of the mobile terminal formed in the eyeball of the human eye to identify whether the collected iris image is a living iris image, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve iris recognition. safety.
  • FIG. 6 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • the mobile terminal 600 includes an acquisition unit 601, an identification unit 602, and a determination unit 603, where:
  • the collecting unit 601 is configured to collect an iris image through the iris camera when receiving the iris acquisition instruction, and simultaneously acquire the first human eye image through the front camera.
  • the identifying unit 602 is configured to identify whether a quadrilateral pattern is included in the first human eye image.
  • the determining unit 603 is configured to determine that the collected iris image is a living iris image when the identifying unit 602 identifies that the first human eye image includes a quadrilateral pattern.
  • the mobile terminal shown in FIG. 6 can use the inverted image of the mobile terminal formed in the eyeball of the human eye to identify whether the collected iris image is a living iris image, and the recognition algorithm is simple, and can quickly detect whether the iris is a living body and improve iris recognition. safety.
  • the embodiment of the present invention further provides another mobile terminal.
  • the mobile terminal can be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), an in-vehicle computer, and the mobile terminal is used as a mobile phone as an example:
  • FIG. 7 is a block diagram showing a partial structure of a mobile phone related to a mobile terminal provided by an embodiment of the present invention.
  • the mobile phone includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a display unit 940, a sensor 950, an audio circuit 960, a wireless fidelity (WiFi) module 970, and a processor 980. And power supply 990 and other components.
  • RF radio frequency
  • the RF circuit 910 can be used for receiving and transmitting information.
  • RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
  • LNA Low Noise Amplifier
  • RF circuitry 910 can also communicate with the network and other devices via wireless communication.
  • the above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division). Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), E-mail, Short Messaging Service (SMS), and the like.
  • GSM Global System of Mobile communication
  • GPRS General Packet Radio Service
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • LTE Long Term Evolution
  • E-mail Short Messaging Service
  • the memory 920 can be used to store software programs and modules, and the processor 980 executes various functional applications and data processing of the mobile phone by running software programs and modules stored in the memory 920.
  • the memory 920 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function, and the like; the storage data area may store data created according to usage of the mobile phone, and the like.
  • memory 920 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the input unit 930 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the handset.
  • the input unit 930 can include a fingerprint recognition module 931, a touch display screen 932, and other input devices 933.
  • the fingerprint identification module 931 can collect fingerprint data of the user.
  • the input unit 930 may also include other input devices 932.
  • other input devices 932 may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and the like.
  • the display unit 940 can be used to display information input by the user or information provided to the user as well as various menus of the mobile phone.
  • the display unit 940 can include a display screen 941.
  • the display screen 941 can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.
  • the fingerprint recognition module 931 and the display screen 941 function as two separate components to implement the input and input functions of the mobile phone, in some embodiments, the fingerprint recognition module 931 and the display screen 941 may be Integrated to achieve the input and playback functions of the phone.
  • the handset may also include at least one type of sensor 950, such as optical sensor 951, motion sensor 952, and other sensors.
  • the optical sensor 951 may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen 941 according to the brightness of the ambient light, and the proximity sensor may turn off the display screen 941 when the mobile phone moves to the ear. / or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in each direction (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, Related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, here Let me repeat.
  • An audio circuit 960, a speaker 961, and a microphone 962 can provide an audio interface between the user and the handset.
  • the audio circuit 960 can transmit the converted electrical data of the received audio data to the speaker 961 for conversion to the sound signal by the speaker 961; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal by the audio circuit 960. After receiving, it is converted into audio data, and then processed by the audio data playback processor 980, sent to the other mobile phone via the RF circuit 910, or played back to the memory 920 for further processing.
  • WiFi is a short-range wireless transmission technology
  • the mobile phone can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 970, which provides users with wireless broadband Internet access.
  • FIG. 7 shows the WiFi module 970, it can be understood that it does not belong to the essential configuration of the mobile phone, and can be omitted as needed within the scope of not changing the essence of the invention.
  • the processor 980 is the control center of the handset, which connects various portions of the entire handset using various interfaces and lines, by executing or executing software programs and/or modules stored in the memory 920, and invoking data stored in the memory 920, executing The phone's various functions and processing data, so that the overall monitoring of the phone.
  • the processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, and the like.
  • the modem processor primarily handles wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 980.
  • the handset also includes a power source 990 (such as a battery) that supplies power to the various components.
  • a power source 990 such as a battery
  • the power source can be logically coupled to the processor 980 through a power management system to manage functions such as charging, discharging, and power management through the power management system.
  • the mobile phone also includes a camera 9100, which may include a front camera, an iris camera, and a rear camera.
  • the mobile phone can also include a Bluetooth module, a flash, etc.
  • the flash can include a front flash and a rear flash, the front flash can fill the front camera, and the rear flash can fill the rear camera.
  • the front flash can include a front visible flash and a front infrared flash, the front visible flash is used to fill the front camera, and the front infrared flash is used to fill the iris camera.
  • the embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to execute any method for identifying an iris living body as described in the above method embodiment. Part or all of the steps.
  • Embodiments of the present invention also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the above method embodiments Any or all of the steps of any method of identifying an iris living body.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may contribute to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a memory. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing memory includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.
  • ROM Read-Only Memory
  • RAM Random Access Memory

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Abstract

本发明实施例公开了一种识别虹膜活体的方法及相关产品，该方法包括：当接收到虹膜采集指令时，移动终端通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像；识别第一人眼图像中是否包含四边形图案；若第一人眼图像中包含四边形图案，确定采集到的虹膜图像为活体虹膜图像。本发明实施例可以提高虹膜识别的安全性。

Description

识别虹膜活体的方法及相关产品 技术领域
本发明涉及移动终端技术领域，具体涉及一种识别虹膜活体的方法及相关产品。
背景技术
随着手机、平板电脑等移动终端的普及，现代生活人们基本上已是人手一台手机。为了保证手机的安全性，目前的手机一般都采用指纹识别、人脸识别等生物识别技术。其中，虹膜识别以其防伪度高、不易被破解等优点，已经广泛应用于手机解锁、移动支付等各个方面。
然而，虹膜容易被伪造，安全性较低。例如，不法分子获取到手机主人照片后，可以利用手机主人眼照片进行虹膜识别。可见，目前的虹膜识别的安全性较低。
发明内容
本发明实施例提供了一种识别虹膜活体的方法及相关产品，可以提高虹膜识别的安全性。
本发明实施例第一方面提供一种识别虹膜活体的方法，应用于包括虹膜摄像头、前置摄像头以及应用处理器AP的移动终端，所述方法包括：
当接收到虹膜采集指令时，通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像；
识别所述第一人眼图像中是否包含四边形图案；
若所述第一人眼图像中包含四边形图案，确定采集到的所述虹膜图像为活体虹膜图像。
本发明实施例第二方面提供一种移动终端，包括虹膜摄像头、前置摄像头以及应用处理器AP，其中：
所述虹膜摄像头，用于接收到虹膜采集指令时，采集虹膜图像；
所述前置摄像头，用于接收到所述虹膜采集指令时，采集第一人眼图像；
所述AP，用于识别所述第一人眼图像中是否包含四边形图案；
所述AP，还用于当所述第一人眼图像中包含四边形图案时，确定采集到的所述虹膜图像为活体虹膜图像。
本发明实施例第三方面提供一种移动终端，包括虹膜摄像头、前置摄像头、应用处理器AP以及存储器，所述存储器用于存储一个或多个程序，所述一个或多个程序被配置成由所述AP执行，所述程序包括用于执行以下步骤的指令：
当接收到虹膜采集指令时，通过所述虹膜摄像头采集虹膜图像，同时通过所述前置摄像头采集第一人眼图像；
识别所述第一人眼图像中是否包含四边形图案；
若所述第一人眼图像中包含四边形图案，确定采集到的所述虹膜图像为活体虹膜图像。
本发明实施例第四方面提供一种移动终端，所述移动终端包括采集单元、识别单元和确定单元，其中：
所述采集单元，用于当接收到虹膜采集指令时，通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像；
所述识别单元，用于识别所述第一人眼图像中是否包含四边形图案；
所述确定单元，用于当所述识别单元识别所述第一人眼图像中包含四边形图案时，确定采集到的所述虹膜图像为活体虹膜图像。
本发明实施例第五方面提供一种计算机可读存储介质，所述计算机可读存储介质用于存储电子数据交换的计算机程序，其中，所述计算机程序使得计算机执行如本发明实施例第一方面任一方法中所描述的部分或全部步骤。
本发明实施例第六方面提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如本发明实施例第一方面任一方法中所描述的部分或全部步骤。
本发明实施例中的识别虹膜活体的方法，移动终端在进行虹膜活体识别时，可以利用前置摄像头采集第一人眼图像，并识别第一人眼图像中是否包含四边形图案，四边形图案为移动终端在眼球中成像所形成的图案，如果识别到第一人眼图像中包含四边形图案，表明用户正在对着移动终端进行人眼识别，采集到的虹膜图像为活体虹膜图像，本发明实施例利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1a是本发明实施例公开的虹膜识别的工作原理示意图；
图1b是本发明实施例公开的一种移动终端的结构示意图；
图1c是本发明实施例公开的一种前置摄像头拍摄的人眼图像的结构示意图；
图1d是本发明实施例公开的另一种移动终端的结构示意图；
图2是本发明实施例公开的一种识别虹膜活体的方法的流程示意图；
图3是本发明实施例公开的另一种识别虹膜活体的方法的流程示意图；
图4是本发明实施例公开的另一种识别虹膜活体的方法的流程示意图；
图5是本发明实施例公开的另一种移动终端的结构示意图；
图6是本发明实施例公开的另一种移动终端的结构示意图；
图7是本发明实施例公开的又一种移动终端的结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本发明的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本发明实施例所涉及到的移动终端可以包括各种具有无线通信功能的手持设备、车载 设备、可穿戴设备、计算设备或连接到无线调制解调器的其他处理设备，以及各种形式的用户设备(User Equipment，UE)，移动台(Mobile Station，MS)，终端设备(terminal device)等等。为方便描述，上面提到的设备统称为移动终端。
下面对本发明实施例进行详细介绍。
为了更好的理解本发明实施例，首先对本发明实施例中的虹膜识别的工作原理进行介绍。请参阅图1a，图1a是本发明实施例公开的虹膜识别的工作原理示意图。图1a中的虹膜识别应用于移动终端，移动终端以手机为例。如图1a所示，虹膜摄像头110、前置摄像头120、以及显示屏130均设置在手机10的正面，其中，虹膜摄像头110用于采集虹膜图像，前置摄像头120用于采集人眼图像。虹膜图像用于应用处理器(Application Processor，AP)140进行处理并在后台对处理后的虹膜图像进行验证，当验证通过后，即认为通过虹膜识别验证。人眼图像用于AP140进行识别以确认前置摄像头120采集到的虹膜图像是否为活体虹膜图像。其中，AP140无法直接从手机10外观上直接看到，故图1a中用虚线进行表示。
请参阅图1b，图1b是本发明实施例公开的一种移动终端的结构示意图，如图1b所示，该移动终端100包括应用处理器(Application Processor，AP)101、虹膜摄像头102以及前置摄像头103其中，AP101通过总线104连接虹膜摄像头102以及前置摄像头103。
虹膜摄像头102，用于当移动终端100接收到虹膜采集指令时，采集虹膜图像。
前置摄像头103，用于当移动终端100接收到上述虹膜采集指令时，采集第一人眼图像。
移动终端100可以接收基于用户在触控显示屏上的输入操作而触发产生的虹膜采集指令。例如，当应用场景为屏幕解锁场景时，当触控显示屏被点亮之后，触控显示屏上可以弹出选择提示框，用于引导用户选择“虹膜识别”、“指纹识别”和“人脸识别”中的一种。当用户点击选择提示框中的“虹膜识别”时，即可触发产生虹膜采集指令。移动终端100也可以在检测到用户拿起移动终端100的时候触发产生虹膜采集指令。例如，应用场景为屏幕解锁场景时，当移动终端100的姿态传感器(例如，重力传感器、三轴陀螺仪、三轴加速度传感器等)检测到用户有抬起移动终端100的动作，即可触发移动终端100产生虹膜采集指令。
第一人眼图像可以包括用户的左眼图像和右眼图像，也可以只包括用户的左眼图像或右眼图像。
AP101，用于识别第一人眼图像中是否包含四边形图案。
AP101，还用于当第一人眼图像中包含四边形图案时，确定采集到的虹膜图像为活体虹膜图像。
本发明实施例应用的场景是用户在进行虹膜识别时的活体识别场景。在该场景中，用户手持移动终端(例如手机)进行虹膜识别时，前置摄像头103拍摄到用户的第一人眼图像，由于用户进行虹膜识别时，用户的眼睛必然会盯着移动终端，因此，用户的眼球中会呈现移动终端的像。如图1c所示，图1c中的四边形图案即为用户眼球中呈现的移动终端的像。由于移动终端一般设计为矩形，在用户眼球中会形成四边形的图案(根据拍摄角度会呈现不同的四边形)。如果不法分子利用用户的照片冒充活体，则前置摄像头103拍摄到的人眼图像中不会包含四边形图案，仅仅会包含圆形或椭圆形图案。
AP101识别第一人眼图像中是否包含四边形图案具体可以为：
AP101利用高斯去噪算法对第一人眼图像进行去噪，得到去噪后的第一人眼图像；
AP101对去噪后的第一人眼图像进行图像增强处理，确定去噪后的第一人眼图像中是否包含的四边形图案。
其中，四边形图案可以是亮度值较高的四边形图案，也可以是亮度值较低的四边形图 案。如果前置摄像头103采集第一人眼图像时，移动终端的显示屏点亮，则四边形图案为亮度值较高的四边形图案；如果前置摄像头103采集第一人眼图像时，移动终端的显示屏熄灭，则四边形图案为亮度值低的四边形图案。
可选的，AP101，还用于当第一人眼图像中不包含四边形图案时，确定采集到的虹膜图像为非活体虹膜图像。
其中，非活体虹膜图像可以包括打印出来的照片。
在一种可行的实施方式中，当第一人眼图像中不包含四边形图案时，AP101确定采集到的虹膜图像为非活体虹膜图像。
可选的，如图1d所示，移动终端100还包括前置闪光灯105，前置摄像头103，还用于当第一人眼图像中不包含四边形图案时，在前置闪光灯105开启时采集第二人眼图像。
AP101，还用于判断第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值。
AP101，还用于当第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值大于预设阈值时，确定采集到的虹膜图像为活体虹膜图像。
在另一种可行的实施方式中，当第一人眼图像中不包含四边形图案时，前置摄像头103采集第二人眼图像，AP101判断第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值，若是，则确定采集到的虹膜图像为活体虹膜图像。
眼球区域占比，即为人眼图像中的眼球区域的面积与整个人眼图像的面积之比。AP101判断第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值，目的是为了判断采集到的人眼图像是否为活体人眼图像，也即前置摄像头103拍摄的对象是否为活体。如果拍摄的对象为活体，当前置闪光灯105开启后，前置摄像头103拍摄的第二人眼图像中的人眼瞳孔受强光照刺激会收缩，因此，第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比会发生较大变化，第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值大于预设阈值。如果拍摄的对象不是活体(比如死人眼球或者照片等)，第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比一般不会发生较大变化，第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值小于预设阈值。实施本发明实施例，通过前置闪光灯在关闭和开启两种状态下判断前置摄像头拍摄的人眼图像中的眼球区域占比是否大于预设阈值来判断采集到的虹膜图像是否为活体虹膜图像，活体识别算法简单。
本发明实施例中，当第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值小于或等于预设阈值时，表明前置摄像头在不同光照强度下拍摄到的人眼图像差别较小，可以认为采集到的虹膜图像为非活体虹膜图像。
可选的，AP101，还用于当第一人眼图像中包含四边形图案时，输出提示信息，提示信息用于提示用户变换拍摄角度。
前置摄像头103，还用于采集第三人眼图像。
AP101，还用于识别第三人眼图像中是否包含四边形图案。
AP101，还用于当第三人眼图像中包含四边形图案时，判断第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度是否达到预设差异度。
AP101，还用于当第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度达到预设差异度时，确定采集到的虹膜图像为活体虹膜图像。
本发明实施中，为了防止不法分子利用用户自拍图像进行冒充活体，本发明实施例在不同的角度拍摄不同的人眼图像，由于在不同的角度下拍摄，第一人眼图像中的四边形图案与第三人眼图像中的四边形图案在形状、大小以及位置上都有差异，而自拍照片冒充的 则不会出现差异。实施本发明实施例，可以进一步提高虹膜活体识别的准确度。
可选的，第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度包括：
第一人眼图像中的四边形图案的面积与第三人眼图像中的四边形图案的面积的差异值；和/或，
第一人眼图像中的四边形图案在第一人眼图像中眼球的位置与第三人眼图像中的四边形图案在第三人眼图像中眼球的位置的差异值；和/或，
第一人眼图像中的四边形图案占据第一人眼图像中眼球区域的比值与第三人眼图像中的四边形图案占据第三人眼图像中眼球区域的比值的差异值。
本发明实施例中，如果第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度包括面积的差异值和位置的差异值，则在后续进行比较时，差异度为两者差异值之和。如果第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度包括面积的差异值、位置的差异值和比值的差异值，则在后续进行比较时，差异度为三者差异值之和。
可选的，四边形图案为移动终端在眼球中成像所形成的图案。
其中四边形图案可以是亮度值较高的四边形图案，也可以是亮度值较低的四边形图案。
实施图1b所示的移动终端，可以利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
请参阅图2，图2是本发明实施例公开的一种识别虹膜活体的方法的流程示意图。该方法应用于包括虹膜摄像头、前置摄像头以及应用处理器AP的移动终端，如图2所示，该方法包括如下步骤。
201，当接收到虹膜采集指令时，移动终端通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像。
202，移动终端识别第一人眼图像中是否包含四边形图案。若是，执行步骤203，若否，执行步骤204。
203，移动终端确定采集到的虹膜图像为活体虹膜图像。
204，移动终端确定采集到的虹膜图像为非活体虹膜图像。
图2中的步骤的实施方式具体可以参见图1a-图1d所示的装置实施例，此处不再赘述。
实施图2所示的方法，可以利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
请参阅图3，图3是本发明实施例公开的另一种识别虹膜活体的方法的流程示意图。该方法应用于包括虹膜摄像头、前置摄像头、前置闪光灯以及应用处理器AP的移动终端，该方法包括如下步骤。
301，当接收到虹膜采集指令时，移动终端通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像。
302，移动终端识别第一人眼图像中是否包含四边形图案。若是，执行步骤303，若否，执行步骤304。
303，移动终端确定采集到的虹膜图像为活体虹膜图像。
304，移动终端通过前置摄像头在前置闪光灯开启时采集第二人眼图像。
305，移动终端判断第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值。若是，执行步骤303，若否，执行步骤306。
306，移动终端确定采集到的虹膜图像为非活体虹膜图像。
图3中的步骤的实施方式具体可以参见图1a-图1d所示的装置实施例，此处不再赘述。
实施图3所示的方法，可以利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
请参阅图4，图4是本发明实施例公开的另一种识别虹膜活体的方法的流程示意图。该方法应用于包括虹膜摄像头、前置摄像头以及应用处理器AP的移动终端，该方法包括如下步骤。
401，当接收到虹膜采集指令时，移动终端通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像。
402，移动终端识别第一人眼图像中是否包含四边形图案。若是，执行步骤403，若否，执行步骤408。
403，移动终端输出提示信息，该提示信息用于提示用户变换拍摄角度。
404，移动终端通过前置摄像头采集第三人眼图像。
405，移动终端识别第三人眼图像中是否包含四边形图案。若是，执行步骤406，若否，执行步骤408。
406，移动终端判断第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度是否达到预设差异度。若是，执行步骤407，若否，执行步骤408。
407，移动终端确定采集到的虹膜图像为活体虹膜图像。
408，移动终端确定采集到的虹膜图像为非活体虹膜图像。
图4中的步骤的实施方式具体可以参见图1a-图1d所示的装置实施例，此处不再赘述。
实施图4所示的方法，可以利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
请参阅图5，图5是本发明实施例公开的另一种移动终端的结构示意图。该移动终端500包括虹膜摄像头501、前置摄像头502、应用处理器AP503以及存储器504，虹膜摄像头501、前置摄像头502、应用处理器AP503以及存储器504可以通过通信总线505连接，存储器505用于存储一个或多个程序，一个或多个程序被配置成由AP504执行，程序包括用于执行以下步骤的指令：
当接收到虹膜采集指令时，通过虹膜摄像头501采集虹膜图像，同时通过前置摄像头502采集第一人眼图像；
识别第一人眼图像中是否包含四边形图案；
若第一人眼图像中包含四边形图案，确定采集到的虹膜图像为活体虹膜图像。
可选的，移动终端还包括前置闪光灯，程序还包括用于执行以下步骤的指令：
若第一人眼图像中不包含四边形图案，通过前置摄像头502在前置闪光灯开启时采集第二人眼图像；
判断第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值；
若第一人眼图像中的眼球区域占比与第二人眼图像中的眼球区域占比的差值的绝对值大于预设阈值，执行确定采集到的虹膜图像为活体虹膜图像的步骤。
可选的，程序还包括用于执行以下步骤的指令：
若第一人眼图像中包含四边形图案，输出提示信息，提示信息用于提示用户变换拍摄角度；
通过前置摄像头502采集第三人眼图像；
识别第三人眼图像中是否包含四边形图案；
若第三人眼图像中包含四边形图案，判断第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度是否达到预设差异度；
若是，执行确定采集到的虹膜图像为活体虹膜图像的步骤。
可选的，第一人眼图像中的四边形图案与第三人眼图像中的四边形图案的差异度包括：
第一人眼图像中的四边形图案的面积与第三人眼图像中的四边形图案的面积的差异值；和/或，
第一人眼图像中的四边形图案在第一人眼图像中眼球的位置与第三人眼图像中的四边形图案在第三人眼图像中眼球的位置的差异值；和/或，
第一人眼图像中的四边形图案占据第一人眼图像中眼球区域的比值与第三人眼图像中的四边形图案占据第三人眼图像中眼球区域的比值的差异值。
可选的，四边形图案为移动终端在眼球中成像所形成的图案。
实施图5所示的移动终端，可以利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
请参阅图6，图6是本发明实施例公开的另一种移动终端的结构示意图。该移动终端600包括采集单元601、识别单元602和确定单元603，其中：
采集单元601，用于当接收到虹膜采集指令时，通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像。
识别单元602，用于识别第一人眼图像中是否包含四边形图案。
确定单元603，用于当识别单元602识别第一人眼图像中包含四边形图案时，确定采集到的虹膜图像为活体虹膜图像。
该移动终端的实施可以参见图2-4所示的方法实施例，重复之处不再赘述。
实施图6所示的移动终端，可以利用人眼眼球中形成的移动终端的倒像来识别采集的虹膜图像是否为活体虹膜图像，识别算法简单，可以快速检测虹膜是否为活体，提高虹膜识别的安全性。
本发明实施例还提供了另一种移动终端，如图7所示，为了便于说明，仅示出了与本发明实施例相关的部分，具体技术细节未揭示的，请参照本发明实施例方法部分。该移动终端可以为包括手机、平板电脑、PDA(Personal Digital Assistant，个人数字助理)、POS(Point of Sales，销售终端)、车载电脑等任意终端设备，以移动终端为手机为例：
图7示出的是与本发明实施例提供的移动终端相关的手机的部分结构的框图。参考图7，手机包括：射频(Radio Frequency，RF)电路910、存储器920、输入单元930、显示单元940、传感器950、音频电路960、无线保真(Wireless Fidelity，WiFi)模块970、处理器980、以及电源990等部件。本领域技术人员可以理解，图7中示出的手机结构并不构成对手机的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
下面结合图7对手机的各个构成部件进行具体的介绍：
RF电路910可用于信息的接收和发送。通常，RF电路910包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器(Low Noise Amplifier，LNA)、双工器等。此外，RF电路910还可以通过无线通信与网络和其他设备通信。上述无线通信可以使用任一通信标准或协议，包括但不限于全球移动通讯系统(Global System of Mobile communication，GSM)、通用分组无线服务(General Packet Radio Service，GPRS)、码分多址(Code Division Multiple Access，CDMA)、宽带码分多址(Wideband Code Division Multiple Access,WCDMA)、长期演进(Long Term Evolution，LTE)、电子邮件、短消息服务(Short Messaging Service，SMS)等。
存储器920可用于存储软件程序以及模块，处理器980通过运行存储在存储器920的软件程序以及模块，从而执行手机的各种功能应用以及数据处理。存储器920可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序等；存储数据区可存储根据手机的使用所创建的数据等。此外，存储器920可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
输入单元930可用于接收输入的数字或字符信息，以及产生与手机的用户设置以及功能控制有关的键信号输入。具体地，输入单元930可包括指纹识别模组931、触控显示屏932以及其他输入设备933。指纹识别模组931，可采集用户在其上的指纹数据。除了指纹识别模组931，输入单元930还可以包括其他输入设备932。具体地，其他输入设备932可以包括但不限于触控屏、物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。
显示单元940可用于显示由用户输入的信息或提供给用户的信息以及手机的各种菜单。显示单元940可包括显示屏941，可选的，可以采用液晶显示器(Liquid Crystal Display，LCD)、有机发光二极管(Organic Light-Emitting Diode,OLED)等形式来配置显示屏941。虽然在图7中，指纹识别模组931与显示屏941是作为两个独立的部件来实现手机的输入和输入功能，但是在某些实施例中，可以将指纹识别模组931与显示屏941集成而实现手机的输入和播放功能。
手机还可包括至少一种传感器950，比如光学传感器951、运动传感器952以及其他传感器。具体地，光学传感器951可包括环境光传感器及接近传感器，其中，环境光传感器可根据环境光线的明暗来调节显示屏941的亮度，接近传感器可在手机移动到耳边时，关闭显示屏941和/或背光。作为运动传感器952的一种，加速计传感器可检测各个方向上(一般为三轴)加速度的大小，静止时可检测出重力的大小及方向，可用于识别手机姿态的应用(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等；至于手机还可配置的陀螺仪、气压计、湿度计、温度计、红外线传感器等其他传感器，在此不再赘述。
音频电路960、扬声器961，传声器962可提供用户与手机之间的音频接口。音频电路960可将接收到的音频数据转换后的电信号，传输到扬声器961，由扬声器961转换为声音信号播放；另一方面，传声器962将收集的声音信号转换为电信号，由音频电路960接收后转换为音频数据，再将音频数据播放处理器980处理后，经RF电路910以发送给比如另一手机，或者将音频数据播放至存储器920以便进一步处理。
WiFi属于短距离无线传输技术，手机通过WiFi模块970可以帮助用户收发电子邮件、浏览网页和访问流式媒体等，它为用户提供了无线的宽带互联网访问。虽然图7示出了WiFi模块970，但是可以理解的是，其并不属于手机的必须构成，完全可以根据需要在不改变发明的本质的范围内而省略。
处理器980是手机的控制中心，利用各种接口和线路连接整个手机的各个部分，通过运行或执行存储在存储器920内的软件程序和/或模块，以及调用存储在存储器920内的数据，执行手机的各种功能和处理数据，从而对手机进行整体监控。可选的，处理器980可包括一个或多个处理单元；优选的，处理器980可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器980中。
手机还包括给各个部件供电的电源990(比如电池)，优选的，电源可以通过电源管理系统与处理器980逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。
手机还包括摄像头9100，摄像头9100可以包括前置摄像头、虹膜摄像头和后置摄像头。
尽管未示出，手机还可以包括蓝牙模块、闪光灯等，闪光灯可以包括前置闪光灯和后置闪光灯，前置闪光灯可以为前置摄像头进行补光，后置闪光灯可以为后置摄像头进行补光。前置闪光灯可以包括前置可见光闪光灯和前置红外闪光灯，前置可见光闪光灯用于为前置摄像头进行补光，前置红外闪光灯用于为虹膜摄像头进行补光。
本发明实施例还提供一种计算机存储介质，其中，该计算机存储介质存储用于电子数据交换的计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任何一种识别虹膜活体的方法的部分或全部步骤。
本发明实施例还提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如上述方法实施例中记载的任何一种识别虹膜活体的方法的部分或全部步骤。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本发明并不受所描述的动作顺序的限制，因为依据本发明，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本发明所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储器中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储器中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储器包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、只读存储器(英文：Read-Only Memory，简称：ROM)、随机存取器(英文：Random Access Memory，简称：RAM)、磁盘或光盘等。
以上对本发明实施例进行了详细介绍，本文中应用了具体个例对本发明的原理及实施 方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，依据本发明的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本发明的限制。

Claims (20)

  1. 一种识别虹膜活体的方法，其特征在于，包括：
    当接收到虹膜采集指令时，通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像；
    识别所述第一人眼图像中是否包含四边形图案；
    若所述第一人眼图像中包含四边形图案，确定采集到的所述虹膜图像为活体虹膜图像。
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    若所述第一人眼图像中不包含四边形图案，通过所述前置摄像头在前置闪光灯开启时采集第二人眼图像；
    判断所述第一人眼图像中的眼球区域占比与所述第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值；
    若所述第一人眼图像中的眼球区域占比与所述第二人眼图像中的眼球区域占比的差值的绝对值大于所述预设阈值，执行所述确定采集到的所述虹膜图像为活体虹膜图像的步骤。
  3. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    若所述第一人眼图像中包含四边形图案，输出提示信息，所述提示信息用于提示用户变换拍摄角度；
    通过所述前置摄像头采集第三人眼图像；
    识别所述第三人眼图像中是否包含四边形图案；
    若所述第三人眼图像中包含四边形图案，判断所述第一人眼图像中的四边形图案与所述第三人眼图像中的四边形图案的差异度是否达到预设差异度；
    若是，执行所述确定采集到的所述虹膜图像为活体虹膜图像的步骤。
  4. 根据权利要求3所述的方法，其特征在于，所述第一人眼图像中的四边形图案与所述第三人眼图像中的四边形图案的差异度包括：
    所述第一人眼图像中的四边形图案的面积与所述第三人眼图像中的四边形图案的面积的差异值；和/或，
    所述第一人眼图像中的四边形图案在所述第一人眼图像中眼球的位置与所述第三人眼图像中的四边形图案在所述第三人眼图像中眼球的位置的差异值；和/或，
    所述第一人眼图像中的四边形图案占据所述第一人眼图像中眼球区域的比值与所述第三人眼图像中的四边形图案占据所述第三人眼图像中眼球区域的比值的差异值。
  5. 根据权利要求1-4任一项所述的方法，其特征在于，所述四边形图案为移动终端在眼球中成像所形成的图案。
  6. 根据权利要求1所述的方法，其特征在于，所述识别第一人眼图像中是否包含四边形图案，包括：
    利用高斯去噪算法对第一人眼图像进行去噪，得到去噪后的第一人眼图像；
    对所述去噪后的第一人眼图像进行图像增强处理，确定所述去噪后的第一人眼图像中是否包含的四边形图案。
  7. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    当所述第一人眼图像中不包含四边形图案时，确定采集到的所述虹膜图像为非活体虹膜图像。
  8. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    若所述第一人眼图像中的眼球区域占比与所述第二人眼图像中的眼球区域占比的差值的绝对值小于所述预设阈值，确定采集到的所述虹膜图像为非活体虹膜图像。
  9. 根据权利要求3所述的方法，其特征在于，所述方法还包括：
    若所述第一人眼图像中的四边形图案与所述第三人眼图像中的四边形图案的差异度未达到所述预设差异度，确定采集到的所述虹膜图像为非活体虹膜图像。
  10. 一种移动终端，其特征在于，包括虹膜摄像头、前置摄像头以及应用处理器AP，其中：
    所述虹膜摄像头，用于接收到虹膜采集指令时，采集虹膜图像；
    所述前置摄像头，用于接收到所述虹膜采集指令时，采集第一人眼图像；
    所述AP，用于识别所述第一人眼图像中是否包含四边形图案；
    所述AP，还用于当所述第一人眼图像中包含四边形图案时，确定采集到的所述虹膜图像为活体虹膜图像。
  11. 根据权利要求10所述的移动终端，其特征在于，所述移动终端还包括前置闪光灯，
    所述前置摄像头，还用于当所述第一人眼图像中不包含四边形图案时，在所述前置闪光灯开启时采集第二人眼图像；
    所述AP，还用于判断所述第一人眼图像中的眼球区域占比与所述第二人眼图像中的眼球区域占比的差值的绝对值是否大于预设阈值；
    所述AP，还用于当所述第一人眼图像中的眼球区域占比与所述第二人眼图像中的眼球区域占比的差值的绝对值大于所述预设阈值时，确定采集到的所述虹膜图像为活体虹膜图像。
  12. 根据权利要求10所述的移动终端，其特征在于，
    所述AP，还用于当所述第一人眼图像中包含四边形图案时，输出提示信息，所述提示信息用于提示用户变换拍摄角度；
    所述前置摄像头，还用于采集第三人眼图像；
    所述AP，还用于识别所述第三人眼图像中是否包含四边形图案；
    所述AP，还用于当所述第三人眼图像中包含四边形图案时，判断所述第一人眼图像中的四边形图案与所述第三人眼图像中的四边形图案的差异度是否达到预设差异度；
    所述AP，还用于当所述第一人眼图像中的四边形图案与所述第三人眼图像中的四边形图案的差异度达到所述预设差异度时，确定采集到的所述虹膜图像为活体虹膜图像。
  13. 根据权利要求12所述的移动终端，其特征在于，所述第一人眼图像中的四边形图案与所述第三人眼图像中的四边形图案的差异度包括：
    所述第一人眼图像中的四边形图案的面积与所述第三人眼图像中的四边形图案的面积的差异值；和/或，
    所述第一人眼图像中的四边形图案在所述第一人眼图像中眼球的位置与所述第三人眼 图像中的四边形图案在所述第三人眼图像中眼球的位置的差异值；和/或，
    所述第一人眼图像中的四边形图案占据所述第一人眼图像中眼球区域的比值与所述第三人眼图像中的四边形图案占据所述第三人眼图像中眼球区域的比值的差异值。
  14. 根据权利要求10-13任一项所述的移动终端，其特征在于，所述四边形图案为所述移动终端在眼球中成像所形成的图案。
  15. 根据权利要求10所述的移动终端，其特征在于，所述AP识别第一人眼图像中是否包含四边形图案，具体为：
    所述AP利用高斯去噪算法对第一人眼图像进行去噪，得到去噪后的第一人眼图像，对所述去噪后的第一人眼图像进行图像增强处理，确定所述去噪后的第一人眼图像中是否包含的四边形图案。
  16. 根据权利要求10所述的移动终端，其特征在于，
    所述AP，还用于当所述第一人眼图像中不包含四边形图案时，确定采集到的所述虹膜图像为非活体虹膜图像。
  17. 根据权利要求10所述的移动终端，其特征在于，
    所述AP，还用于当所述第一人眼图像中的眼球区域占比与所述第二人眼图像中的眼球区域占比的差值的绝对值小于所述预设阈值时，确定采集到的所述虹膜图像为非活体虹膜图像。
  18. 一种移动终端，其特征在于，包括采集单元，识别单元和确定单元，其中：
    所述采集单元，用于当接收到虹膜采集指令时，通过虹膜摄像头采集虹膜图像，同时通过前置摄像头采集第一人眼图像；
    所述识别单元，用于识别所述第一人眼图像中是否包含四边形图案；
    所述确定单元，用于当所述识别单元识别所述第一人眼图像中包含四边形图案时，确定采集到的所述虹膜图像为活体虹膜图像。
  19. 一种移动终端，其特征在于，包括虹膜摄像头、前置摄像头、应用处理器AP以及存储器，所述存储器用于存储一个或多个程序，所述一个或多个程序被配置成由所述AP执行，所述程序包括用于执行如权利要求1-9任一项所述的方法。
  20. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质用于存储电子数据交换的计算机程序，其中，所述计算机程序使得计算机执行如权利要求1-9任一项所述的方法。
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