CN106446827A - Iris identification function detecting method and device - Google Patents
Iris identification function detecting method and device Download PDFInfo
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- CN106446827A CN106446827A CN201610839975.2A CN201610839975A CN106446827A CN 106446827 A CN106446827 A CN 106446827A CN 201610839975 A CN201610839975 A CN 201610839975A CN 106446827 A CN106446827 A CN 106446827A
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- 230000006870 function Effects 0.000 claims description 99
- 238000001514 detection method Methods 0.000 claims description 40
- 230000002159 abnormal effect Effects 0.000 claims description 27
- 230000008569 process Effects 0.000 claims description 14
- 238000012512 characterization method Methods 0.000 claims description 9
- 230000004064 dysfunction Effects 0.000 claims description 2
- 238000013024 troubleshooting Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 12
- 238000005516 engineering process Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 9
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- 238000012545 processing Methods 0.000 description 2
- KLDZYURQCUYZBL-UHFFFAOYSA-N 2-[3-[(2-hydroxyphenyl)methylideneamino]propyliminomethyl]phenol Chemical compound OC1=CC=CC=C1C=NCCCN=CC1=CC=CC=C1O KLDZYURQCUYZBL-UHFFFAOYSA-N 0.000 description 1
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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
- G06V40/19—Sensors therefor
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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
- G06V40/193—Preprocessing; Feature extraction
Abstract
The invention relates to an iris identification function detecting method and device. The method comprises that first characteristic information and second characteristic information are obtained, the first characteristic information is obtained according to data, collected by a to-be-detected terminal, of a human eye model, and the second characteristic information is obtained according to data, collected by a standard sample terminal, of the human eye model; the first characteristic information is compared with the second characteristic information to obtain a difference; and whether an iris identification function of the to-be-detected terminal is normal is determined according to the difference and a preset threshold range, and if NO, troubleshooting is carried out on the terminal. Thus, a user can use the iris identification function of the terminal normally, and the terminal quality is ensured.
Description
Technical field
It relates to iris recognition technology, particularly relate to a kind of iris identifying function detection method and device.
Background technology
Iris recognition technology is to carry out identification based on the iris in eyes, and at present, iris recognition technology is mechanical, electrical at hand
The terminal devices such as brain have bigger application trend, user can be helped to carry out identification.
Content of the invention
For overcoming problem present in correlation technique, the disclosure provides a kind of iris identifying function detection method and device.
According to the first aspect of disclosure embodiment, provide a kind of iris identifying function detection method, including：
Obtain fisrt feature information and second feature information；Described fisrt feature information is for collecting according to terminal to be detected
The information that arrives of the data acquisition of human-eye model, described second feature information is the described people collecting according to standard sample terminal
The information that the data acquisition of phantom eye arrives；
Described fisrt feature information is contrasted with described second feature information, obtains difference value；
Judge that according to described difference value and preset threshold range whether the iris identifying function of described terminal to be detected is normal.
In one embodiment, the described rainbow judging described terminal to be detected according to described difference value and preset threshold range
Whether film identification function is normal, including：
If described difference value is without departing from described preset threshold range, it is determined that the iris identifying function of described terminal to be detected
Normally；Or,
If described difference value exceeds described preset threshold range, it is determined that the iris identifying function of described terminal to be detected is different
Often.
In one embodiment, described method also includes：
If the iris identifying function of described terminal to be detected is abnormal, then send a warning message；Described warning information includes rainbow
The mark of the parafunctional terminal to be detected of film identification.
In one embodiment, described acquisition second feature information, including：
Obtain the data of the described human-eye model that described standard sample terminal collects in airtight camera bellows；
Characterization is carried out to the data of described human-eye model, to obtain described second feature information.
In one embodiment, described method also includes：
It is stored in described second feature information in local storage.
According to the second aspect of disclosure embodiment, provide a kind of iris identifying function detection device, including：
Acquisition module, is configured to obtain fisrt feature information and second feature information；Described fisrt feature information is root
The information that the data acquisition of the human-eye model collecting according to terminal to be detected arrives, described second feature information is for according to standard sample
The information that the data acquisition of the described human-eye model that terminal collects arrives；
Contrast module, is configured to contrast described fisrt feature information with described second feature information, and it is poor to obtain
Different value；
Judge module, is configured to judge the iris of described terminal to be detected according to described difference value and preset threshold range
Identify that whether function is normal.
In one embodiment, described judge module, including：
First judges submodule, if being configured to described difference value without departing from described preset threshold range, it is determined that described
The iris identifying function of terminal to be detected is normal；Or,
Second judges submodule, if described difference value exceeds described preset threshold range, it is determined that described terminal to be detected
Iris identifying function abnormal.
In one embodiment, described device also includes：
Alarm module, if the iris identifying function being configured to described terminal to be detected is abnormal, then sends a warning message；Institute
State warning information and include the mark of the abnormal terminal to be detected of iris identifying function.
In one embodiment, described acquisition module, including：
Obtain submodule, be configured to obtain the described human eye mould that described standard sample terminal collects in airtight camera bellows
The data of type；
Process submodule, be configured to carry out characterization to the data of described human-eye model, to obtain described second
Characteristic information.
In one embodiment, described device also includes：
Memory module, is configured to be stored in described second feature information in local storage.
According to the third aspect of disclosure embodiment, provide a kind of iris identifying function detection device, including：
Processor；
For storing the memory of processor executable；
Wherein, described processor is configured to：
Obtain fisrt feature information and second feature information；Described fisrt feature information is for collecting according to terminal to be detected
The information that arrives of the data acquisition of human-eye model, described second feature information is the described people collecting according to standard sample terminal
The information that the data acquisition of phantom eye arrives；
Described fisrt feature information is contrasted with described second feature information, obtains difference value；
Judge that according to described difference value and preset threshold range whether the iris identifying function of described terminal to be detected is normal.
Embodiment of the disclosure that the technical scheme of offer can include following beneficial effect：
In one embodiment, obtain fisrt feature information and second feature information, by fisrt feature information and second feature
Information contrasts, and obtains difference value, judges the iris identifying function of terminal to be detected according to difference value and preset threshold range
The information normally whether, wherein, the data acquisition of the human-eye model for collecting according to terminal to be detected for the fisrt feature information arrives,
The information that the data acquisition of the human-eye model for collecting according to standard sample terminal for the second feature information arrives, is equivalent to be checked
Survey terminal to contrast the characteristic information obtaining after human-eye model identification with the characteristic information of standard, it is judged that the iris of terminal is known
Whether other function is normal, if abnormal, then can carry out problem investigation to terminal, thus ensure that user can normally use terminal
Iris identifying function, it is ensured that the quality of terminal.
In one embodiment, a pre-defined preset threshold range, if difference value without departing from preset threshold range within,
Then determine that the iris identifying function of terminal to be detected is normal, if difference value exceeds preset threshold range, it is determined that terminal to be detected
Iris identifying function abnormal, the iris identifying function of terminal can be detected accurately, and, preset threshold range can be according to reality
Border demand is set and changes, flexibly and easily.
In one embodiment, when the iris identifying function determining terminal to be detected is abnormal, send a warning message, with in time
Notify this terminal abnormal to be detected of user, user can carry out abnormal investigation for this terminal, prevent abnormal terminals enter sell
Market.
In one embodiment, before production line test, choose some terminal conducts that can correctly realize iris identifying function
Standard sample terminal, controls these standard sample terminals and is identified human-eye model in airtight camera bellows, obtain each standard
The data of human-eye model are carried out characterization, to obtain second feature by the data of the human-eye model that sample terminal collects
Information, owing to being identified human-eye model in airtight camera bellows, can effectively prevent extraneous infrared light from having influence on testing result,
Ensure accuracy and the reliability of testing result, and, it is stored in second feature information in local storage, when factory produces line
When carrying out detection terminal iris identifying function, can directly use second feature information, very convenient, save the detection time.
It should be appreciated that it is only exemplary and explanatory, not that above general description and details hereinafter describe
The disclosure can be limited.
Brief description
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the enforcement meeting the present invention
Example, and for explaining the principle of the present invention together with specification.
The application scenarios schematic diagram of the iris identifying function detection method that Fig. 1 provides for disclosure embodiment；
Fig. 2 is the flow chart of a kind of iris identifying function detection method according to an exemplary embodiment；
Fig. 3 is the flow chart of a kind of iris identifying function detection method according to another exemplary embodiment；
Fig. 4 is the block diagram of a kind of iris identifying function detection device according to an exemplary embodiment；
Fig. 5 is the block diagram of a kind of iris identifying function detection device according to another exemplary embodiment；
Fig. 6 is the block diagram of a kind of iris identifying function detection device according to another exemplary embodiment；
Fig. 7 is the block diagram of a kind of iris identifying function detection device according to another exemplary embodiment；
Fig. 8 is the block diagram of a kind of iris identifying function detection device according to further example embodiment；
Fig. 9 is the block diagram of a kind of device for iris identifying function detection according to an exemplary embodiment.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.Explained below relates to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the present invention.On the contrary, they be only with such as appended
The example of the consistent apparatus and method of some aspects that described in detail in claims, the present invention.
Iris recognition technology has bigger application trend in field of mobile phones, and cellphone subscriber can be helped to carry out identity knowledge
Not.For the terminal such as mobile phone, computer, iris identifying function is to be realized by multiple functional modules, but, have part terminal
Iris identifying function some problems occur so that the iris identifying function of terminal cannot normally use.The disclosure provides one
Iris identifying function detection method, detects to the iris identifying function of terminal, to ensure that user can normally use iris
Identify function.
The application scenarios schematic diagram of the iris identifying function detection method that Fig. 1 provides for disclosure embodiment.Such as Fig. 1 institute
Showing, in order to prevent extraneous infrared light from having influence on testing result, whole test process is carried out in airtight camera bellows, at airtight camera bellows
In, human-eye model is in terminal dead ahead, generally, the distance between human-eye model and terminal at about 20～50cm, and
And terminal location and human-eye model position fix, this terminal can be standard sample terminal, it is also possible to be terminal to be detected.Example
As mobile phone is connected with computer by USB interface, and computer control mobile phone carries out iris image collection.
Fig. 2 is the flow chart of a kind of iris identifying function detection method according to an exemplary embodiment, this iris
Identify that function detecting method is applied in terminal or server, as in figure 2 it is shown, iris identifying function detection method includes following step
Suddenly：
In step s 11, fisrt feature information and second feature information are obtained；Fisrt feature information is for according to end to be detected
The information that the data acquisition of the human-eye model that end collects arrives, second feature information is the people collecting according to standard sample terminal
The information that the data acquisition of phantom eye arrives.
In the present embodiment, in order to detect the iris identifying function of terminal, some standard sample terminals can first be determined, this
A little standard sample terminals can correctly realize iris identifying function, is first known human-eye model by these standard sample terminals
Not to obtain the data of human-eye model, the data acquisition second feature information according to human-eye model, this second feature information is permissible
As the characteristic information of standard, for judging that whether the characteristic information that other terminals to be detected collect is accurate.End when other
It is required for carrying out the detection of iris identifying function after bringing out product, control terminal to be detected and human-eye model is identified to obtain
Fisrt feature information.Wherein, fisrt feature information and second feature information can for the spot of iris, filament, crown, striped,
The minutia of crypts etc..
In step s 12, fisrt feature information is contrasted with second feature information, obtain difference value.
In the present embodiment, fisrt feature information and second feature information are contrasted, to obtain fisrt feature information
And the difference value between second feature information, is equivalent to the feature by the characteristic information getting from terminal to be detected and standard and believes
Breath compares, and obtains difference value therebetween.
In step s 13, whether the iris identifying function of terminal to be detected is judged according to difference value and preset threshold range
Normally.
In the present embodiment, can arrange a preset threshold range (spec) according to the actual requirements, this predetermined threshold value is
One scope, may determine that according to difference value and preset threshold range whether the iris identifying function of terminal to be detected is normal.Example
As if preset threshold range is (-0.1～0.1), then when this difference value is more than or equal to-0.1, less than or equal to 0.1, then
Determine that the iris identifying function of this terminal is normal.
The iris identifying function detection method that disclosure embodiment provides, obtains fisrt feature information and second feature letter
Fisrt feature information is contrasted by breath with second feature information, obtains difference value, sentences with preset threshold range according to difference value
Whether the iris identifying function of terminal to be detected of breaking is normal, and wherein, fisrt feature information is collect according to terminal to be detected
The information that the data acquisition of human-eye model arrives, the number of the human-eye model for collecting according to standard sample terminal for the second feature information
According to the information getting, be equivalent to believe terminal to be detected with the feature of standard to the characteristic information of acquisition after human-eye model identification
Breath contrasts, it is judged that whether the iris identifying function of terminal is normal, if abnormal, then can carry out problem row to abnormal terminals
Look into, thus ensure that user can normally use the iris identifying function of terminal, it is ensured that the quality of terminal.
Further, on the basis of embodiment illustrated in fig. 2, the implementation of step S13 includes situations below：
If difference value without departing from preset threshold range within, it is determined that the iris identifying function of terminal to be detected is normal.Or
Person, if difference value exceeds preset threshold range, it is determined that the iris identifying function of terminal to be detected is abnormal.
In the present embodiment, preset threshold range can pre-define, for example, it is possible to definition preset threshold range is thousand points
One of, if the fisrt feature information of the human-eye model getting from terminal to be detected and the human eye getting from standard sample terminal
Difference value between the second feature information of model is just qualified in one thousandth, and also even difference value is without departing from predetermined threshold value
Within the scope of, it is determined that the iris identifying function of terminal to be detected is normal.If the human-eye model getting from terminal to be detected
Fisrt feature information and the difference value between the second feature information of the human-eye model that standard sample terminal gets are more than thousand
/ mono-, then terminal is defective, and even difference value exceeds preset threshold range, it is determined that the iris identifying function of terminal to be detected
Abnormal.
Alternatively, this iris identifying function detection method can also include：If the iris identifying function of terminal to be detected is different
Often, then send a warning message；Warning information includes the mark of the abnormal terminal to be detected of iris identifying function.
In the present embodiment, when the iris identifying function determining terminal to be detected is abnormal, send a warning message, with in time
Notify this terminal abnormal to be detected of user, user can carry out abnormal investigation for this terminal, prevent abnormal terminals enter sell
Market.Wherein, warning information can be the information types such as word, picture, voice.
The iris identifying function detection method that disclosure embodiment provides, a pre-defined preset threshold range, if poor
Different value without departing from preset threshold range within, it is determined that the iris identifying function of terminal to be detected is normal, if difference value is beyond pre-
If threshold range, it is determined that the iris identifying function of terminal to be detected is abnormal, can detect the iris recognition work(of terminal accurately
Can, and, preset threshold range can be set and change, flexibly and easily according to the actual requirements.
Fig. 3 is the flow chart of a kind of iris identifying function detection method according to another exemplary embodiment, this rainbow
Film identification function detecting method is applied in terminal or server, on the basis of above-described embodiment, as it is shown on figure 3, " obtain the
The step for two characteristic informations " comprise the following steps：
In the step s 21, the data of the human-eye model that standard sample terminal collects in airtight camera bellows are obtained.
In the present embodiment, before production line test, some terminal conducts that can correctly realize iris identifying function are chosen
Standard sample (Golden Sample) terminal, controls these standard sample terminals and knows human-eye model in airtight camera bellows
Not, obtaining the data of the human-eye model that each standard sample terminal collects, the data of this human-eye model can be iris image
Data.
In step S22, characterization is carried out to the data of human-eye model, to obtain second feature information.
In the present embodiment, characterization is carried out to the data of the human-eye model that each standard sample terminal collects,
Extract the iris feature of human-eye model as second feature information.
Alternatively, after step s 22, step S23 can also be included：
It in step S23, is stored in second feature information in local storage.
In the present embodiment, after obtaining second feature information, second feature information can be stored, to facilitate
Directly using during subsequent detection, this local storage can be embedded multi-media card (Embedded Multi Media
Card, is called for short EMMC) etc..
The iris function detecting method that disclosure embodiment provides, before production line test, choosing some can correctly realize
The terminal of iris identifying function, as standard sample terminal, controls these standard sample terminals in airtight camera bellows to human-eye model
It is identified, obtains the data of the human-eye model that each standard sample terminal collects, feature is carried out to the data of human-eye model
Change process, to obtain second feature information, owing to being identified human-eye model in airtight camera bellows, can effectively prevent the external world
Infrared light has influence on testing result, it is ensured that the accuracy of testing result and reliability, and, second feature information is stored in this
In ground memory, when factory's product line carries out detection terminal iris identifying function, can directly use second feature information, very
Convenient, save the detection time.
Fig. 4 is the block diagram of a kind of iris identifying function detection device according to an exemplary embodiment.Such as Fig. 4 institute
Showing, this device includes that the 11st, acquisition module contrasts module 12 and judge module 13.
Acquisition module 11 is configured to obtain fisrt feature information and second feature information；Treat according to fisrt feature information
The information that the data acquisition of the human-eye model that detection terminal collects arrives, second feature information is for gathering according to standard sample terminal
To the information that arrives of the data acquisition of human-eye model.
Contrast module 12 is configured to contrast fisrt feature information with second feature information, obtains difference value.
Judge module 13 is configured to judge the iris recognition work(of terminal to be detected according to difference value and preset threshold range
Can whether normal.
With regard to the device in above-described embodiment, wherein modules performs the concrete mode of operation in relevant the method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Further, as shown in Figure 5 and Figure 6, it is judged that module 13 includes that the first judgement submodule 131 or second judges submodule
Block 132.
If first judges that submodule 131 is configured to difference value without departing from preset threshold range, it is determined that terminal to be detected
Iris identifying function normal.
If second judges that submodule 132 difference value exceeds preset threshold range, it is determined that the iris recognition of terminal to be detected
Dysfunction.
Alternatively, as shown in Figure 6, this device also includes alarm module 14.
If the iris identifying function that alarm module 14 is configured to terminal to be detected is abnormal, then send a warning message；Alarm
Information includes the mark of the abnormal terminal to be detected of iris identifying function.
With regard to the device in above-described embodiment, wherein modules performs the concrete mode of operation in relevant the method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 7 is the block diagram of a kind of iris identifying function detection device according to another exemplary embodiment.Such as Fig. 7 institute
Showing, acquisition module 11 includes obtaining submodule 111 and processes submodule 112.
Obtain submodule 111 and be configured to obtain the number of the human-eye model that standard sample terminal collects in airtight camera bellows
According to.
Process submodule 112 is configured to the data to human-eye model and carries out characterization, to obtain second feature letter
Breath.
Alternatively, as it is shown in fig. 7, this device also includes memory module 15.
Memory module 15 is configured to be stored in second feature information in local storage.
With regard to the device in above-described embodiment, wherein modules performs the concrete mode of operation in relevant the method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 8 is the block diagram of a kind of iris identifying function detection device according to further example embodiment.Such as Fig. 8 institute
Showing, this device includes processor 21 and memory 22：
Processor 21；
For storing the memory 22 of processor 21 executable instruction；
Wherein, processor 21 is configured to：
Obtain fisrt feature information and second feature information；Fisrt feature information is the people collecting according to terminal to be detected
The information that the data acquisition of phantom eye arrives, the data of the human-eye model for collecting according to standard sample terminal for the second feature information
The information getting；
Fisrt feature information is contrasted with second feature information, obtains difference value；
Judge that according to difference value and preset threshold range whether the iris identifying function of terminal to be detected is normal.
With regard to the device in above-described embodiment, wherein modules performs the concrete mode of operation in relevant the method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 9 is the block diagram of a kind of device for iris identifying function detection according to an exemplary embodiment.Example
As device 800 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, and flat board sets
Standby, Medical Devices, body-building equipment, personal digital assistant etc..
With reference to Fig. 8, device 800 can include following one or more assembly：Process assembly 802, memory 804, electric power
Assembly 806, multimedia groupware 808, audio-frequency assembly 810, the interface 812 of input/output (I/O), sensor cluster 814, and
Communications component 816.
Process assembly 802 and generally control the integrated operation of device 800, such as with display, call, data communication, phase
The operation that machine operation and record operation are associated.Process assembly 802 and can include that one or more processor 820 performs to refer to
Order, to complete all or part of step of above-mentioned method.Additionally, process assembly 802 can include one or more module, just
Mutual in process between assembly 802 and other assemblies.For example, process assembly 802 and can include multi-media module, many to facilitate
Media component 808 and process between assembly 802 mutual.
Memory 804 is configured to store various types of data to support the operation at equipment 800.Showing of these data
Example includes the instruction of any application program for operation on device 800 or method, contact data, telephone book data, disappears
Breath, picture, video etc..Memory 804 can be by any kind of volatibility or non-volatile memory device or their group
Close and realize, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), erasable compile
Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash
Device, disk or CD.
The various assembly that electric power assembly 806 is device 800 provides electric power.Electric power assembly 806 can include power management system
System, one or more power supplys, and other generate, manage and distribute, with for device 800, the assembly that electric power is associated.
Multimedia groupware 808 includes the screen of one output interface of offer between described device 800 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch sensing
Device is to sense touch, to slide and the gesture on touch panel.Described touch sensor can not only sense touch or sliding action
Border, but also detection and described touch or slide related duration and pressure.In certain embodiments, many matchmakers
Body assembly 808 includes a front-facing camera and/or post-positioned pick-up head.When equipment 800 is in operator scheme, such as screening-mode or
During video mode, front-facing camera and/or post-positioned pick-up head can receive the multi-medium data of outside.Each front-facing camera and
Post-positioned pick-up head can be a fixing optical lens system or have focal length and optical zoom ability.
Audio-frequency assembly 810 is configured to output and/or input audio signal.For example, audio-frequency assembly 810 includes a Mike
Wind (MIC), when device 800 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone is joined
It is set to receive external audio signal.The audio signal being received can be further stored at memory 804 or via communication set
Part 816 sends.In certain embodiments, audio-frequency assembly 810 also includes a loudspeaker, is used for exporting audio signal.
I/O interface 812 provides interface for processing between assembly 802 and peripheral interface module, above-mentioned peripheral interface module can
To be keyboard, put striking wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Set button.
Sensor cluster 814 includes one or more sensor, for providing the state of various aspects to comment for device 800
Estimate.For example, what sensor cluster 814 can detect equipment 800 opens/closed mode, and the relative positioning of assembly is for example described
Assembly is display and the keypad of device 800, and sensor cluster 814 can also detect device 800 or 800 1 assemblies of device
Position change, user is presence or absence of with what device 800 contacted, device 800 orientation or acceleration/deceleration and device 800
Temperature changes.Sensor cluster 814 can include proximity transducer, is configured to detect when not having any physical contact
The existence of neighbouring object.Sensor cluster 814 can also include optical sensor, such as CMOS or ccd image sensor, for becoming
Use as in application.In certain embodiments, this sensor cluster 814 can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communications component 816 is configured to facilitate the communication of wired or wireless mode between device 800 and other equipment.Device
800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.An exemplary enforcement
In example, communications component 816 receives the broadcast singal from external broadcasting management system or broadcast related information via broadcast channel.
In one exemplary embodiment, described communications component 816 also includes near-field communication (NFC) module, to promote junction service.Example
As, can be based on RF identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology,
Bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 800 can be by one or more application specific integrated circuits (ASIC), numeral letter
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components realize, are used for performing said method.
In the exemplary embodiment, a kind of non-transitory computer-readable recording medium including instruction, example are additionally provided
As included the memory 804 of instruction, above-mentioned instruction can be performed by the processor 820 of device 800 to complete said method.For example,
Described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk
With optical data storage devices etc..
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is by the process of mobile terminal
When device performs so that mobile terminal is able to carry out a kind of iris identifying function detection method, and described method includes：
Obtain fisrt feature information and second feature information；Described fisrt feature information is for collecting according to terminal to be detected
The information that arrives of the data acquisition of human-eye model, described second feature information is the described people collecting according to standard sample terminal
The information that the data acquisition of phantom eye arrives；
Described fisrt feature information is contrasted with described second feature information, obtains difference value；
Judge that according to described difference value and preset threshold range whether the iris identifying function of described terminal to be detected is normal.
Wherein, the described iris identifying function judging described terminal to be detected according to described difference value and preset threshold range
Whether normal, including：
If described difference value is without departing from described preset threshold range, it is determined that the iris identifying function of described terminal to be detected
Normally；Or,
If described difference value exceeds described preset threshold range, it is determined that the iris identifying function of described terminal to be detected is different
Often.
Wherein, described method also includes：
If the iris identifying function of described terminal to be detected is abnormal, then send a warning message；Described warning information includes rainbow
The mark of the parafunctional terminal to be detected of film identification.
Wherein, described acquisition second feature information, including：
Obtain the data of the described human-eye model that described standard sample terminal collects in airtight camera bellows；
Characterization is carried out to the data of described human-eye model, to obtain described second feature information.
Wherein, described method also includes：
It is stored in described second feature information in local storage.
Those skilled in the art, after considering specification and putting into practice invention disclosed herein, will readily occur to its of the present invention
Its embodiment.The application is intended to any modification, purposes or the adaptations of the present invention, these modification, purposes or
Person's adaptations is followed the general principle of the present invention and includes the undocumented common knowledge in the art of the disclosure
Or conventional techniques means.Description and embodiments is considered only as exemplary, and true scope and spirit of the invention are by following
Claims are pointed out.
It should be appreciated that the invention is not limited in precision architecture described above and illustrated in the accompanying drawings, and
And various modifications and changes can carried out without departing from the scope.The scope of the present invention is only limited by appending claims
System.
Claims (11)
1. an iris identifying function detection method, it is characterised in that include：
Obtain fisrt feature information and second feature information；Described fisrt feature information is the people collecting according to terminal to be detected
The information that the data acquisition of phantom eye arrives, described second feature information is the described human eye mould collecting according to standard sample terminal
The information that the data acquisition of type arrives；
Described fisrt feature information is contrasted with described second feature information, obtains difference value；
Judge that according to described difference value and preset threshold range whether the iris identifying function of described terminal to be detected is normal.
2. method according to claim 1, it is characterised in that described judge according to described difference value and preset threshold range
Whether the iris identifying function of described terminal to be detected is normal, including：
If described difference value is without departing from described preset threshold range, it is determined that the iris identifying function of described terminal to be detected is just
Often；Or,
If described difference value exceeds described preset threshold range, it is determined that the iris identifying function of described terminal to be detected is abnormal.
3. method according to claim 2, it is characterised in that described method also includes：
If the iris identifying function of described terminal to be detected is abnormal, then send a warning message；Described warning information includes that iris is known
The mark of not parafunctional terminal to be detected.
4. the method according to any one of claim 1-3, it is characterised in that described acquisition second feature information, including：
Obtain the data of the described human-eye model that described standard sample terminal collects in airtight camera bellows；
Characterization is carried out to the data of described human-eye model, to obtain described second feature information.
5. method according to claim 4, it is characterised in that described method also includes：
It is stored in described second feature information in local storage.
6. an iris identifying function detection device, it is characterised in that include：
Acquisition module, is configured to obtain fisrt feature information and second feature information；Treat according to described fisrt feature information
The information that the data acquisition of the human-eye model that detection terminal collects arrives, described second feature information is for according to standard sample terminal
The information that the data acquisition of the described human-eye model collecting arrives；
Contrast module, is configured to contrast described fisrt feature information with described second feature information, obtains difference value；
Judge module, is configured to judge the iris recognition of described terminal to be detected according to described difference value and preset threshold range
Whether function is normal.
7. device according to claim 6, it is characterised in that described judge module, including：
First judges submodule, if being configured to described difference value without departing from described preset threshold range, it is determined that described to be checked
The iris identifying function surveying terminal is normal；Or,
Second judges submodule, if described difference value exceeds described preset threshold range, it is determined that the rainbow of described terminal to be detected
Film identification dysfunction.
8. device according to claim 7, it is characterised in that described device also includes：
Alarm module, if the iris identifying function being configured to described terminal to be detected is abnormal, then sends a warning message；Described announcement
Alarming information includes the mark of the abnormal terminal to be detected of iris identifying function.
9. the device according to any one of claim 6-8, it is characterised in that described acquisition module, including：
Obtain submodule, be configured to obtain the described human-eye model that described standard sample terminal collects in airtight camera bellows
Data；
Process submodule, be configured to carry out characterization to the data of described human-eye model, to obtain described second feature
Information.
10. device according to claim 9, it is characterised in that described device also includes：
Memory module, is configured to be stored in described second feature information in local storage.
11. 1 kinds of iris identifying function detection devices, it is characterised in that include：
Processor；
For storing the memory of processor executable；
Wherein, described processor is configured to：
Obtain fisrt feature information and second feature information；Described fisrt feature information is the people collecting according to terminal to be detected
The information that the data acquisition of phantom eye arrives, described second feature information is the described human eye mould collecting according to standard sample terminal
The information that the data acquisition of type arrives；
Described fisrt feature information is contrasted with described second feature information, obtains difference value；
Judge that according to described difference value and preset threshold range whether the iris identifying function of described terminal to be detected is normal.
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| CN106446827B (en) | 2023-11-24 |
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