CN109700469A - A kind of iris forgery proofing biopsy method based on RGB-IR imaging - Google Patents
A kind of iris forgery proofing biopsy method based on RGB-IR imaging Download PDFInfo
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Classifications
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- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/117—Identification of persons
-
- 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
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/117—Identification of persons
- A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
- A61B5/1176—Recognition of faces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
Abstract
The invention discloses a kind of iris forgery proofing In vivo detection systems based on RGB-IR imaging, wherein the system realizes forgery proofing In vivo detection using the activity characteristic real-time detection method of eyeball physiological movement.
Description
The application is the applying date: on October 14th, 2015, application No. is: the division of 2015106613691 patent application
Application.
Technical field
The present invention relates to bio-identification photoelectric field, especially a kind of mobile terminal for high security is preposition and iris
Identify integrated optical electric imaging system and method.
Background technique
Mobile terminal includes smart phones, tablets, wearable devices etc., and present information technology mobile development trend is come
It sees, necessarily future is applicable in widest equipment to mobile terminal device.
Currently, mobile terminal in practical application is logged in mobile security payment, account safety, is used in terms of Web bank
Extremely extensive, such as the utilization of Yuebao, wechat, bank account management etc., although being in its use process
Life brings great convenience, but a kind of novel economic criminal carried out the features such as weak by security of mobile terminal energy
Guilty gradual rise.
And in mobile terminal, the customary means that the prior art carries out identity validation is exactly Password Input, but this identity
The means security performance of confirmation is very low, it is only necessary to it is implanted into simple Virus on mobile terminals, it can be by the password
Leakage, causes to lose accordingly.In order to solve this problem, mobile terminal peace is carried out in the world or with the mode of bio-identification
Full authentication；Such as the fingerprint identification technology developed based on AuthenTec company that Apple Inc. proposes, the Technology application is in hand
In machine terminal, the identity validation safety of mobile terminal is greatly improved；But during fingerprint technique identifies, due to
Fingerprint is static, although having uniqueness, is also extremely easy to be acquired finger print information, or even be imitated, so with
Fingerprint technique on mobile terminals with more and more extensive, safety also can be corresponding on a declining curve, so pacifying
More advantageous iris recognition is to solve very effective method in mobile terminal safety authentication procedures in terms of full property,
And iris authentication system is that accuracy is highest in existing bio-identification.
At present in all mobile terminals in iris authentication system technology and product, it is not carried out for face Self-timer
Preposition photo electric imaging system and the integration of iris recognition photo electric imaging system.But if the preposition photoelectricity of face Self-timer at
It is independently realized as system and iris recognition photo electric imaging system integration separate, cost greatly increases, and more main movement is eventually
The volume at end can not provide the installation space for accommodating 2 sets of separated Individual optical imaging systems.
Additionally while more there is advantage compared with fingerprint recognition of face in iris recognition in terms of forgery proofing safety, but
If large-scale application is in important events such as the mobile wholesale payments of such as mobile phone, it is still desirable to further upgrading forgery proofing living body
The security technique of detection, the threat to eliminate safe hidden trouble.After all bio-identification purpose itself be exactly be safety, the peace of itself
Full property is most basic and most important.
Further, the mobile terminal of high security is preposition and iris recognition integrated optical electric imaging system needs to solve
Serious problem below:
1, preposition and iris recognition integrated optical electric imaging system in mobile terminal application, before meeting face Self-timer
Photo electric imaging system and iris recognition photo electric imaging system integration are set, fixing fabric structure is in 8.5mm*8.5mm*6mm.
2, preposition and iris recognition integrated optical electric imaging system in mobile terminal application, needs a whole set of high security
Forgery proofing biopsy method guarantees the safety of bio-identification itself.
3. preposition and iris recognition integrated optical electric imaging system in mobile terminal application, needs to instruct photo electric imaging system
The theory deduction of the transformational relation of design.
4, preposition and iris recognition integrated optical electric imaging system in mobile terminal application, needs greatly to reduce cost, at
Originally be reduced within 10 U.S. dollars to be applied on a large scale.
Solving problem above is the ultimate challenge faced at present.
Summary of the invention
The technical problem to be solved in the present invention provides that a kind of mobile terminal for high security is preposition and iris recognition one
Body photo electric imaging system.
In order to solve the above-mentioned technical problems, the present invention provides a kind of iris forgery proofing living bodies based on RGB-IR imaging
Detection method, characterized in that realize one or more of in the following ways: generate biological group of i.RGB-IR imaging wavelength radiation
Knit optical activity characteristic real-time detection method；The pupil iris diameter change rate biology that the radiation of ii.RGB-IR imaging wavelength generates
Tissue activity's characteristic real-time detection method；The optics of cornea reflection position real-time detection that the radiation of iii.RGB-IR imaging wavelength generates
Method；Iv. the activity characteristic real-time detection method of the eyeball physiological movement based on RGB-IR imaging.
Summarize foregoing description, realize through the invention high security mobile terminal is preposition and iris recognition integrated optical
Electric imaging system and its method:
1, preposition and iris recognition integrated optical electric imaging system realizes the preposition photoelectronic imaging for meeting face Self-timer
System and iris recognition photo electric imaging system integration, fixing fabric structure is in 8.5mm*8.5mm*6mm.
2, preposition and iris recognition integrated optical electric imaging system realizes the forgery proofing living body inspection of a whole set of high security
Survey method guarantees the safety of bio-identification itself.
3. preposition and iris recognition integrated optical electric imaging system realizes the conversion for illustrating and photo electric imaging system being instructed to design
The theory deduction of relationship.
4, preposition and iris recognition integrated optical electric imaging system, realization greatly reduce cost, and cost is reduced to 10 U.S. dollars
Within can be applied on a large scale.
Detailed description of the invention
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing.
Fig. 1 is the overall construction drawing of preposition and iris recognition integrated optical electric imaging system of the invention；
Fig. 2 is each imaging pixel of the 105 imaging array individual reception RGB-IR wavelength channel of imaging sensor in Fig. 1
Cell schematics.
Fig. 3 is that imaging sensor 105 is used to reset integral and reads the reset integral of charge (electronics) voltage and read in Fig. 2
Circuit diagram out.
Fig. 4 is that the 4 direction 2*2 of pixel unit of the imaging array of imaging sensor 105RGB-IR wavelength channel in Fig. 2 intersects
It is alternatively arranged form schematic diagram；
The neighborhood pixels in 4 directions between identical wavelength channel pixel in 105 imaging array of imaging sensor in Fig. 2 Fig. 5
Original RAW interpolation of data value schematic diagram.
Fig. 6 is the contrasted zones schematic diagram that the present invention defines iris image.
Fig. 7 is the pupil and iris diametric representation that the present invention defines iris image.
Fig. 8 is the optical reflection point schematic diagram for the cornea different location that the present invention defines iris image.
Fig. 9 is the schematic diagram that the present invention defines the eyelid physiological movement activity characteristic degree that eyeball physiological movement generates.
Figure 10 is the signal that the present invention defines the off-axis strabismus physiological movement activity characteristic degree that eyeball physiological movement generates
Figure.
Specific embodiment
Embodiment 1 gives a kind of preposition mobile terminal and face/iris recognition integrated optical electric imaging system and side
Method.This method includes preposition photoelectronic imaging method, iris recognition photoelectronic imaging method, to preposition photoelectronic imaging method or rainbow
Film identifies the side that interpolated reconstruction is carried out between the original RAW data pixels of identical wavelength channel used in photoelectronic imaging method
Method, iris forgery proofing biopsy method.
As shown in Figure 1, optical light filter (101 or 104) are arranged (for filtering along imaging system optical axis 100 in the system
Imaging wavelength), optical imaging lens 102 (be used for physics Refractive focusing imaging wavelength), optical imaging lens fixed mounting
103 (for optical imaging lens to be fixedly mounted), imaging sensor 105 (exporting image for photoelectric conversion), illumination light
Source 106 (including RGB-LED lighting source 106RGB and IR-LED lighting source 106IR；RGB-LED lighting source 106RGB is used
In generating the radiation of RGB imaging wavelength to preposition photo electric imaging system, IR-LED lighting source 106IR is used for iris recognition photoelectricity
Imaging system generate IR imaging wavelength radiation) and imaging system be fixedly mounted substrate 107 (for providing preposition and iris recognition
Carrier is fixedly mounted in photo electric imaging system), imaging system, which is fixedly mounted on substrate 107, is additionally provided with (the use of Mobile terminal main board 110
In realization mobile terminal function circuit carrier), integrated LED current driver 108 is (for driving on Mobile terminal main board 110
Control LED illumination light source radiation intensity, angle of radiation position and radiated time) and processor chips 109 (for drive control
LED current driver and imaging sensor).
In the specific embodiment of the invention 1 preposition and iris recognition integrated optical electric imaging system include for preposition photoelectricity at
As the optical path of system and the optical path of iris recognition photo electric imaging system；The optical path packet of preposition photo electric imaging system
It includes as follows:
RGB-LED lighting source 106RGB radiates RGB imaging wavelength, and optical light filter (101 or 104) filters RGB imaging
Wavelength, 102 physics Refractive focusing RGB imaging wavelength of optical imaging lens, the imaging array individual reception of imaging sensor 105
RGB wavelength channel.
The optical path of iris recognition photo electric imaging system includes the following:
IR-LED lighting source 106IR radiates IR imaging wavelength, and optical light filter (101 or 104) filters IR imaging wavelength,
The imaging array individual reception IR wavelength of 102 physics Refractive focusing IR imaging wavelength of optical imaging lens, imaging sensor 105 is logical
Road.
In specific embodiments of the present invention 1, the imaging array of imaging sensor 105 is configured with individual reception function
RGB-IR wavelength channel；LED illumination light source (LED illumination light source 106RGB and LED illumination light source 106IR-LED) is configured as
The radiated wavelength range being mutually matched with the RGB-IR imaging wavelength channel with imaging sensor 105；Optical light filter (101
Or 104) it is configured with the wavelength-filtered range being mutually matched with imaging sensor 105RGB-IR imaging wavelength channel；Light
It learns imaging len 102 and is configured with the focus wave being mutually matched with the RGB-IR imaging wavelength channel of imaging sensor 105
Long range；Processor chips 109 are configurable for driving imaging sensor 105 and are arranged, that is, control imaging sensor 105
The image pixel value data and drive control LED current driver 108 of RGB-IR wavelength channel imaging array output；LED electricity
Stream driver 108 is configurable for drive control LED illumination light source (106RGB and 106IR-LED) radiation intensity, radiation angle
Spend position, radiated time.
Above-described optical imaging lens 102 are configured as universal focus lens, can using as liquid driven lens,
Liquid crystal driven lens, VCM voice coil driven lens, MEMS driven lens, EDOF wave-front phase modulation lens or wafer scale array
Any one in lenticule.
Imaging wavelength of the invention includes that RGB imaging wavelength is 400-700nm, and IR imaging wavelength is 800-900nm；At this
Imaging wavelength in embodiment includes that RGB imaging wavelength is 400-650nm, and IR imaging wavelength is 750-850nm.The present invention is specific
As an example, IR imaging wavelength range, substantially imaging wavelength range are bandwidth characteristic to embodiment 1, can also be equal and understand
To be described by imaging wavelength center (wavelength center) and half-peak band width (FWHM), as 800-900nm range can table
Up to for central wavelength 850nm ± 30nm half-peak band width.Further, change as imaging wavelength range and illustrate, it can be with narrowband
For center wavelength 850nm ± 15nm half-peak band width.
Preposition photo electric imaging system uses RGB imaging wavelength, and focusing task object distance WD is at least in 30-100cm；Iris recognition
Photo electric imaging system uses IR imaging wavelength, and focusing task object distance WD is at least in 10-30cm.
Iris recognition photo electric imaging system is with the requirement of following optical imagery:
The imaging wavelength WI of iris recognition photo electric imaging system meets: 800nm≤WI≤900nm or 750nm≤WI≤
850nm:
The focusing task object distance WD of iris recognition photo electric imaging system meets: 10cm≤WD≤30cm；
The pixel spatial resolution PSR (pixel spatial resolution) of iris recognition photo electric imaging system should
Meet: PSR >=13pixel/mm；
The optical magnification OM (optical magnification) of iris recognition photo electric imaging system, it should meet:
OM=PS*PSR；
Wherein, above-described PS is the physical size of each imaging pixel cell of imaging sensor 105；PSR is iris
Identify the pixel spatial resolution of photo electric imaging system；
Optical space resolution ratio OSRI (the optical spatial resolution of iris recognition photo electric imaging system
Of image of plane) it should meet in image space plane: at modulation transfer function 60% (MTF=0.6), 1/ (4*PS)
≤ OSRI≤1/ (2*PS) lp/mm (line is to every millimeter).
Preposition photo electric imaging system is with the requirement of following optical imagery:
The imaging wavelength WI of preposition photo electric imaging system meets: 400nm≤WI≤700nm or 400nm≤WI≤650nm；
The focusing task object distance WD of preposition photo electric imaging system meets: 30cm≤WD≤100cm；
The pixel spatial resolution PSR (pixel spatial resolution) of preposition photo electric imaging system should expire
Foot: PSR≤4pixel/mm；
The optical magnification OM (optical magnification) of preposition photo electric imaging system, it should meet: OM=
PS*PSR；
Wherein, above-described PS is the physical size of each imaging pixel cell of imaging sensor 105；PSR is preposition
The pixel spatial resolution of photo electric imaging system；
Optical space resolution ratio OSRI (the optical spatial resolution of of preposition photo electric imaging system
Image of plane) it should meet in image space plane: at modulation transfer function 60% (MTF=0.6), 1/ (4*PS)≤
OSRI≤1/ (2*PS) lp/mm (line is to every millimeter).
In the present embodiment, each imaging of the imaging array individual reception RGB-IR wavelength channel of imaging sensor 105
Pixel cell structure is as shown in Figure 2.
Each imaging pixel cell of the imaging array individual reception RGB-IR wavelength channel of imaging sensor 105, including
It is as follows: for converging the lenticule 201 (micro lens) of photon 200；Independent RGB-IR wavelength for filtered photons 200 is logical
Road filter layer 202 (RGB-IR filter)；Photon 200 for capturing incident wavelength carries out the semiconductor of photoelectric quantum conversion
Photodiode 203 (photo diode)；For resetting integral and reading the reset integral and reading electricity of charge (electronics) voltage
Road 204；It is the analog-digital converter ADC205 of quantized values for conversion voltage value.Lenticule 201 (micro lens), solely
Vertical RGB-IR wavelength channel filter layer 202 (RGB-IR filter), is answered at semiconductor photo diode 203 (photo diode)
Position integral and reading circuit 204, analog-digital converter ADC205 are set gradually from top to bottom；Incident photon 200 passes sequentially through
Lenticule 201, independent RGB-IR wavelength channel filter layer 202 and semiconductor photo diode 203.
Lenticule 201 (micro lens) has convergence photon efficiency or fill factor (fill factor) FF >=95%；
RGB-IR wavelength channel filter layer 202 (RGB-IR filter) generates independent RGB-IR wavelength channel for filtering；The present invention
In specific embodiment 1, B wavelength channel: 400nm-500nm；G wavelength channel: 500nm-600nm；R wavelength channel: 600nm-
700nm；IR wavelength channel: 800nm-900nm；Or further, B wavelength channel: 400nm-500nm；G wavelength channel:
500nm-590nm；R wavelength channel: 590nm-670nm；IR wavelength channel: 750nm-850nm.Filter layer 202 has RGB-IR
Channel wavelength distribution function FR (λ), FG (λ), FB (λ), FIR (λ)；Semiconductor photo diode 203 has incident by receiving
The photon 200 of wavelength forms electron-hole pair in semiconductor PN and generates photoelectric quantum conversion.
The photon 200 that semiconductor photo diode 203 receives incident wavelength carries out photoelectric quantum conversion, RGB-IR incidence wave
Long photoelectric quantum conversion constant QR, QG, QB, QIR, is defined as follows:
(EQ1)
λ is imaging wavelength, and preferred RGB imaging wavelength is 400-700nm in the specific embodiment of the invention 1, and wave is imaged in IR
A length of 800-900nm, as equivalent understanding, further also can choose RGB imaging wavelength is 400-650nm, and wave is imaged in IR
A length of 750-850nm.
G (λ), r (λ), b (λ), ir (λ) are respectively the photodiode 203RGB-IR wavelength channel of imaging sensor 105
Photoelectric quantum transfer efficiency sensitivity function, FR (λ), FG (λ), FB (λ), FIR (λ) are respectively the filter of imaging sensor 105
Photosphere 202RGB-IR channel wavelength distribution function, f (λ) are the filterability Wavelength distribution function of optical light filter (101 or 104),
S (λ) is the radiance Wavelength distribution function of LED illumination light source (106RGB and 106IR-LED)；L (λ) is optical imaging lens
102 transmissivity Wavelength distribution function.
By the definition standard of ISO measurement unit, in 400-700nm imaging wavelength, QR, QG, the photoelectric quantum conversion of QB
Constant unit is V/lux-sec (the every lux of volt is per second) or ke-/lux-sec.Have such as in the specific embodiment of the invention 1
2.0V/lux-sec；In 800-900nm imaging wavelength, the photoelectric quantum conversion constant unit of QIR is V/ (mw/cm2-sec)
(the every milliwatt of volt is every square centimeter per second) or ke-/(mw/cm2-sec)；There is such as 8000V/ in the specific embodiment of the invention 1
(mw/cm2-sec)。
For resetting integral and reading the reset integral and reading circuit 204 of charge (electronics) voltage, it is respectively used to reset
Charge (electronics) voltage V of integrating photodiode 203, and charge (electronics) the voltage V of reading photodiode 203 (divide
Charge (electronics) voltage V of integrating photodiode 203 Yong Yu not be resetted, and reads the charge (electricity of photodiode 203
Son) voltage V formula it is as follows)；
Charge (electronics) voltage V=Q/C (EQ2)
Wherein: Q is the charge (electronics) of the reset integral of photodiode 203, and C is the equivalent electricity of photodiode 203
Hold, further, photodiode 203 has full charge (electronics) capacity FCC (Full Charge Capacity), FCC >=
10ke-(thousand electronics) (Kelectrons)；There is the conversion of charge (electronics)-voltage to increase for voltage amplitude integral and reading circuit 204
Beneficial CG (Conversion gain): CG=1/C=V/Q unit: μ V/e-The every charge of microvolt (electronics)；Voltage amplitude integral and
Reading circuit 204 has the reset integral of global frame pattern and reads (Global Shutter) or roll the reset product of row mode
Divide and reads (Rolling Shutter).
Fig. 3 is the imaging pixel cell of imaging sensor 105 in the specific embodiment of the invention 1 for resetting integral and reading
(203 be photodiode to the reset integral and reading circuit schematic diagram of charge (electronics) voltage, and 205 be analog-digital converter
ADC, M1, M2, M3 are transistor, and Vdd is power supply, and GND is ground, and reset is the reset product for resetting integral charge (electronics) voltage
Dividing control signal, read are the reading control signal for reading charge (electronics) voltage, and output is analog-digital converter
The simulation of ADC205-numerical value conversion quantized data output).
The concrete principle process for resetting integral and reading circuit is as follows:
When being used to reset integral charge (electronics) voltage, resets integral control signal reset and transistor M1 is effectively connected,
Incident photon 200 carries out photoelectric quantum by photodiode 203 and is converted into stored charge (electronics), reads control signal at this time
Read is invalid, and ends transistor M3, does not generate reading；
When for when reading charge (electronics) voltage, transistor M3, two pole of photoelectricity to be effectively connected in reading control signal read
203 stored charge of pipe (electronics) is exported defeated to analog-digital converter ADC205 conversion quantized data by transistor M2, M3
Output out, resetting integral control signal reset at this time in vain ends transistor M1, not stored charge (electronics).
Above-described analog-digital converter ADC205 have simulation-numerical value conversion quantization resolution number of significant digit be
>=8；Such as 8,10,12 etc., at least 2 are formed8=256LSB, 210=1024LSB, 212=4096LSB quantization resolution.
In the imaging array of imaging sensor 105 each photodiode 203 of individual reception RGB-IR wavelength channel at
As the physical size (PS) of pixel unit meets following condition: 1um/pixel≤PS≤3um/pixel (the every pixel of micron)；
The numerical value YR of the pixel unit photoelectric conversion of the R wavelength channel of individual reception in 105 imaging array of imaging sensor
Are as follows:
YR=FF*QR*GAIN*EXP*ADCG*E*PSU (EQ3)
The numerical value YG of the pixel unit photoelectric conversion of the G wavelength channel of individual reception in 105 imaging array of imaging sensor
Are as follows:
YG=FF*QG*GAIN*EXP*ADCG*E*PSU (EQ4)
The numerical value YB of the pixel unit photoelectric conversion of the B wavelength channel of individual reception in 105 imaging array of imaging sensor
Are as follows:
YB=FF*QB*GAIN*EXP*ADCG*E*PSU (EQ5)
The numerical value of the pixel unit photoelectric conversion of the IR wavelength channel of individual reception in 105 imaging array of imaging sensor
YIR are as follows:
YIR=FF*QIR*GAIN*EXP*ADCG*E*PSU (EQ6)
Wherein: above-described FF (fill factor) is the fill factor of lenticule 201 (micro lens)；
EXP is reset time of integration integrationTime or the time for exposure of 105 imaging array of imaging sensor
Exposure time, unit: S seconds；EXP is synchronous to be equal to 106 radiated time of LED illumination light source；
GAIN is the number and analog gain of 105 imaging array of imaging sensor, no unit；
ADCG is ADC voltage analog-numerical value conversion quantization resolution of 105 imaging array of imaging sensor, unit: LSB/
V, every volt of value bit；
E is the received radiance of 105 imaging array of imaging sensor or radiant illumination, unit: lux (lux) or mw/
cm2(every milliwatt is every square centimeter)；
E=C* β * I/WD2*cos2ψ*(1/FNO)2 (EQ7)
Wherein: I is 106 radiation intensity of LED illumination light source, the every surface of sphere of unit milliwatt (mw/sr)；ψ is LED illumination light source
The angle of 106 radiation positions and imaging system optical axis 100；WD is the focusing task object distance of optical imaging system；FNO be optics at
As the numerical aperture of lens 102, i.e. pitch-row is reciprocal；β is the biological organism optical effect of imaging object (iris or face)
(for the wavelength of LED illumination light source radiation by the absorption of iris or face biological tissue, reflection and scattering generate biological group to reflectivity
Knit optical effect reflectivity)；C is the optical coefficient of optical imaging system；
C=1/16*cos4ω/(1+OM)2(EQ8) wherein: ω is the field angle of object of incident light；OM is photoelectronic imaging
The optical magnification of system；
PSU is the physical size area of each photodiode imaging pixel cell of 105 imaging array of imaging sensor
Unit ratio；PSU=(PS*PS)/cm2；
QR, QG, QB, QIR are each imaging pixel list of individual reception wavelength channel in 105 imaging array of imaging sensor
First photoelectric quantum conversion constant；The pixel unit photoelectric conversion of individual reception wavelength channel in 105 imaging array of imaging sensor
Digital value YR, YG, YB, YIR exported further as the original RAW pixel data I { YR, YG, YB, YIR } of image.
105 imaging array of imaging sensor has the RGB-IR imaging pixel cell of at least 1920*1080 quantity.
There are the RGB-IR imaging pixel cell of 105 imaging array of imaging sensor 4 direction 2*2 transpostion intervals to arrange lattice
Formula.
Fig. 4 is the pixel unit of the imaging array of 1 imaging sensor 105RGB-IR wavelength channel of the specific embodiment of the invention
4 direction 2*2 transpostion interval array format schematic diagrames；
Fig. 4 illustrates every 4 direction 2*2 transpostion interval array format to repeat composition RGB-IR wavelength channel.Imaging sensor 15
The identical wavelength channel pixel of the RGB-IR of imaging array uses 4 direction transpostion interval sampling modes, both when front direction is identical
Wavelength channel pixel Pixel_SC, horizontal direction are the pixel Pixel_SH of identical wavelength channel, and vertical direction is identical
The pixel Pixel_SV of wavelength channel, diagonal direction are the pixel Pixel_SD of identical wavelength channel.Concrete mode reference is shown
It is intended to the 4 identical wavelength channel pixels indicated in 5.
Imaging sensor 105 described in the specific embodiment of the invention 1 can be used Bare Die (COB), ShellUT CSP,
The encapsulation such as NeoPAC CSP, TSV CSP further decrease volume.
LED illumination light source described in the specific embodiment of the invention 1 (106RGB and 106IR-LED), which includes, independently to be radiated
RGB and IR imaging wavelength.Further, RGB-LED lighting source (106RGB) includes the RGB imaging wavelength mixing shape of radiation
At white visible light.
LED illumination light source 106 is made of semiconductor light-emitting-diode, physical make-up and semiconductor photo diode phase
Together, it acts on the contrary, semiconductor light-emitting-diode in application electric current by making the electron-hole pair of semiconductor PN generate optical quantum
Son converts outside radiated photons 200.
Further, LED illumination light source described in the specific embodiment of the invention 1 (106RGB and 106IR-LED) includes control
Make the convex lens or concave mirror of half peak value radiation angle.The half peak value radiation angle Ω meets:
Ω≥FOV；
The FOV is the full filed angle of imaging system；
FOV≥2*arctan((DI*PS)/(2*EFL))；
Wherein: EFL is the equivalent focal length of optical imaging lens 102；DI is the image planes pair of 105 imaging array of imaging sensor
The quantity of linea angulata pixel unit；PS is the physical size of the pixel unit of 105 imaging array of imaging sensor；
LED is theoretically a kind of Lambertian point sources of 360 degree of angle radiation light, can be made using convex lens or concave mirror
The light convergence of LED point light source radiation plays the role of controlling half peak value radiation angle of LED illumination light source.Convex lens can be by optics
Plastics such as optical grade PMMA, the manufacture of the optical substrates material such as optical grade PC, concave mirror can be by high-reflectivity metal matrix material
Material manufacture.
LED illumination light source described in the specific embodiment of the invention 1 (106RGB and 106IR-LED) includes one or more
Different angle of radiation positions for optimizing the imaging viewing field and image quality effect of photo electric imaging system, and provide cornea difference
The In vivo detection of the optical reflection of position.As using the different angle of radiation for being located at 100 left side of imaging system optical axis and/or right side
Position (left side Psrl, right side Psrr, left and right sides Psrl&Psrr).
LED illumination light source described in the specific embodiment of the invention 1 (106RGB and 106IR-LED) includes and image sensing
The synchronous continuous or pulsed irradiation sessions of device 105 and radiation intensity, the image quality for combined optimization photo electric imaging system are imitated
Fruit.LED illumination light source (106RGB and 106IR-LED) can be used the encapsulation such as SMD surface patch and further decrease volume.
Optical light filter described in the specific embodiment of the invention 1 (101 or 104) includes filtering RGB and IR imaging wavelength,
Transmit the light in RGB and IR imaging wavelength range, the light outside reflection and/or absorption RGB and IR imaging wavelength range.
Further, optical light filter described in the specific embodiment of the invention 1 (101 or 104) includes
Light filterability Fi≤10.0% in RGB and IR imaging wavelength range,
Light filterability Fo >=99.9% outside RGB and IR imaging wavelength range；
Or of equal value
Light transmission Ti >=90.0% in RGB and IR imaging wavelength range,
Light transmission To≤0.1% outside RGB and IR imaging wavelength range.
The optical light filter (101 or 104) can be in optical clear glass, coloured glass, the optics base such as optical plastic
Material carries out the realization of surface multi-layer plated film, and optical light filter (101 or 104) thickness≤0.3mm, further as this
Invention is equivalent to be understood, the optical light filter (101 or 104) can be used on 102 surface of optical imaging lens as optics base
Matter carries out multicoating equivalence substitution.
Optical imaging lens 102 described in the specific embodiment of the invention 1 include physics Refractive focusing RGB and IR imaging wave
It is long.Further, optical imaging lens 102 described in the specific embodiment of the invention 1 have to RGB and IR imaging wavelength:
Surface maximum reflectivity Rmax≤1.0%, surface average reflectance Ravg≤0.35%；
Or of equal value
Surface minimum transmittance Tmin >=99.0%, surface average transmittance Tavg >=99.65%.
Above-described optical imaging lens 102 can be in aspherics plastics such as optical grade PMMA, the light such as optical grade PC
It learns host material and carries out surface multi-layer anti-reflection or anti-reflection coating realization；And 3-5P piece aspherics plastic injection technique can be passed through
It realizes, TTL optics overall length≤6mm.
The optical imaging lens include focal length EFL, and numerical aperture FNO meets:
3mm≤EFL≤6mm, 2.0≤FNO≤4.0.
Optical imaging lens 102 are configured as universal focus lens, including liquid driven lens, liquid crystal driven lens, VCM
Voice coil drives any one in lens, MEMS driven lens, EDOF wave-front phase modulation lens or wafer scale microarray lens.
The liquid driven lens include fixed focus lenses, liquid lens, for controlling the voltage drive of liquid lens
Dynamic device；
The liquid crystal driven lens include fixed focus lenses, liquid crystal lens, for controlling the voltage drive of liquid crystal lens
Dynamic device；
Both optical power is adjusted by changing the diopter of incident light for the liquid driven lens and liquid crystal driven lens
To realize automatic focusing function.
The VCM voice coil driven lens include fixed focus lenses, VCM voice coil, for controlling the electric current drive of VCM voice coil
Dynamic device；
By changing optic back focal, both optic image distance is adjusted to realize automatic focusing function the VCM voice coil driven lens
Energy.
MEMS (microelectromechanical systems) the driving lens include fixed focus lenses, MEMS lens, for controlling
The electrostatic actuator of MEMS lens.
The MEMS driven lens are by changing the optical position of MEMS lens to realize automatic focusing function.
The wafer scale array lenticule calculates imaging (Computational Imaging) by microlens array
Realize 3D panorama depth Reconstruction of The Function.
The EDOF wave-front phase modulation lens include lens, wave-front phase modulation optical element；
After the EDOF wave-front phase modulation is modulated by wave-front phase modulation optical element, liftering demodulation is rebuild real
Existing extended depth-of-field function.
Since above-described EDOF wave-front phase modulation lens have at low cost, small in size, structure is simple, no complicated to drive
The advantages that dynamic.So the specific embodiment of the invention 1 is preferably described in detail by taking EDOF wave-front phase modulation lens as an example, EDOF wavefront
Phase-modulation lens imaging, it guarantees field depth under the conditions of maximizing luminous flux with 10 times of traditional optical imaging system or more
(depth of field) range, while simplifying the design of optical system field of view (view of field) and aberration correction.
Wave-front phase modulation optical element is as the phase pupil between lens.
Define the pupil phase modulation function Φ (x, y) that wave-front phase modulation optical element has odd symmetry:
Φ (- x ,-y)=- Φ (x, y)
Wherein: M, N are order, and α mn is numeric factors.
The specific embodiment of the invention 1 is required in view of numerical value is calculated with the complexity etc. actually manufactured in practical application,
Low order of the order less than 9 is generally used, is such as order using 7,5,3.
The wave-front phase modulation optical element of the specific embodiment of the invention 1 can be set by micron-sized aspherical injection moulding process
Meter manufacture, can reduce cost and structure is simple, be easy to produce in batches.
Wave-front phase modulation optical system has optical point spread function PSF (u, v；θ)
PSF (u, v；θ)=| h (u, v；θ)|2
Wherein: P (x, y) is the pupil function of optical system,
P (x, y)=1, when integral parameter (x, y) is included within the scope of pupil；
P (x, y)=0, when integral parameter (x, y) is not included within the scope of pupil；
Pupil function can also be of equal value the domain areal extent for being expressed as two-dimentional definite integral, that is, limit 2 dimension definite integral
Domain area integral range be pupil range.(x, y) is the point of pupil plane, and (u, v) is the point as plane.
θ is diffraction wave aberration or defocuses parameter；λ is imaging wavelength, and f is the equivalent focal length of optical system, doIt is flat for entrance pupil
Face is to object plane distance, diIt is exit pupil plane to as plan range, A is pupil area, and Zernike (x, y) is optical system
Zernike aberration function；
In view of optical system has global characteristics in reality, what above-mentioned two-dimensional integration can also be of equal value is integrated using polar coordinates
It indicates.Point spread function PSF (u, the v according to the definition of pupil phase modulation function Φ (x, y)；It θ) is even symmetry.
With modulation transfer function (MTF) and diffraction wave aberration (diffraction-aberration) space/frequency domain knot
The pupil phase modulation function Φ (x, y) of the wave-front phase modulation optical system of combinatorial optimization meets condition: diffraction wave aberration is excellent
Hua Du J global minimization, theoretically J=0.
Wherein: optimization degree J is by determination defined below for diffraction wave aberration:
Wherein: [- θ 0, θ 0] specified diffraction wave aberration or defocuses parameter symmetrical range when being practical application；
Simultaneously according to optical theory, wave-front phase modulation optical system has optical transfer function OTF (s, t；It θ) is PSF
(u, v；Fourier transformation pair θ), and have following inference:
Modulation transfer function optimization degree M is by determination defined below:
Meeting diffraction wave aberration optimization degree according to above-mentioned definition and the provable pupil phase modulation function Φ (x, y) of inference
Under the conditions of J global minimization, wave-front phase modulation optical system has modulation transfer function and diffraction wave aberration space/frequency domain knot
Combinatorial optimization.And under the conditions of theoretically J=0, Wave-front phase is fixed constant relative to diffraction wave aberration, can pass through letter
Single digital demodulation processing restores original image.
Picture flat image O (u, v) that imaging sensor 105 is imaged is demodulated by digital signal processing image to be restored, as a result
It rebuilds original digital image I (x, y).Digital signal processing image demodulation restores:
I (x, y)=H (u, v) * g (u, v)=∫ ∫ H (x-u, y-v) g (u, v) du dv
Wherein, H (u, v)=0 (u, v)-N (u, v)；
0 (u, v) is the picture flat image that imaging sensor 105 is imaged, and N (u, v) is the equivalent noise of photo electric imaging system
Function, g (u, v)=F-1The inverse Fourier of (1/MTF (s, t)), i.e. MTF (s, t) inverse is converted, and MTF (s, t) is Wave-front phase
The scheduled modulation transfer function of modulation optical system (MTF) function, * indicate 2 dimension convolution of functions integrals.
Since MTF (s, t) is determining for above-mentioned scheduled optical system, therefore g (u, v) is also determining, and g
The convolution scale of (u, v) is also compactly support, and more further equivalent noise function N (u, v) is for above-mentioned scheduled photoelectronic imaging
System is also determining.So above-mentioned digital signal processing image demodulation restores to express with mathematics discrete form, present invention tool
Body embodiment 1 can optimize integer code by digital signal processing appts real-time implementations such as FPGA or DSP, or by processor core
The software algorithm real-time implementation of piece 109.
The specific embodiment of the invention 1, due to iris recognition photo electric imaging system and preposition photo electric imaging system have not
With optical imagery requirement, imaging wavelength, pixel spatial resolution, optical magnification, optical space resolution ratio, focusing task object
Away from range.
Above-described iris recognition photo electric imaging system is with the requirement of following optical imagery:
The imaging wavelength WI of iris recognition photo electric imaging system meets:
800nm≤WI≤900nm or 750nm≤WI≤850nm；
The focusing task object distance WD of iris recognition photo electric imaging system meets:
10cm≤WD≤30cm。
The pixel spatial resolution PSR (pixel spatial resolution) of iris recognition photo electric imaging system should
Meet: PSR >=13pixel/mm；
The optical magnification OM (optical magnification) of iris recognition photo electric imaging system, it should meet:
OM=PS*PSR
Described in wherein:
PS is the physical size of each imaging pixel cell of imaging sensor；
PSR is the pixel spatial resolution of iris recognition photo electric imaging system；
Optical space resolution ratio OSRI (the optical spatial resolution of iris recognition photo electric imaging system
Of image of plane) it should meet in image space plane: at modulation transfer function 60% (MTF=0.6), 1/ (4*PS)
≤ OSRI≤1/ (2*PS) lp/mm (line is to every millimeter).
The preposition photo electric imaging system is with the requirement of following optical imagery:
The imaging wavelength WI of preposition photo electric imaging system meets:
400nm≤WI≤700nm or 400nm≤WI≤650nm
The focusing task object distance WD of preposition photo electric imaging system meets:
30cm≤WD≤100cm。
The pixel spatial resolution PSR (pixel spatial resolution) of preposition photo electric imaging system should expire
Foot: PSR≤4pixel/mm；
The optical magnification OM (optical magnification) of preposition photo electric imaging system, it should meet:
OM=PS*PSR
Described in wherein:
PS is the physical size of each imaging pixel cell of imaging sensor；
PSR is the pixel spatial resolution of preposition photo electric imaging system；
Optical space resolution ratio OSRI (the optical spatial resolution of of preposition photo electric imaging system
Image of plane) it should meet in image space plane: at modulation transfer function 60% (MTF=0.6), 1/ (4*PS)≤
OSRI≤1/ (2*PS) lp/mm (line is to every millimeter).
Preposition photoelectronic imaging method of the invention, comprising the following steps:
LED illumination light source 106 (106RGB) is driven to generate RGB 1. processor chips 109 control LED current driver 108
Imaging wavelength is continuous or the radiation of lock-out pulse mode；
2. by the filtering of RGB imaging wavelength and physics Refractive focusing, the imaging array individual reception 3 of imaging sensor 105
A RGB wavelength channel carries out global frame pattern or rolls row mode reset integral (exposure) and read；
3. the image that processor chips 109 obtain 3 identical RGB wavelength channel outputs in imaging array respectively is original
RAW pixel data I { YR, YG, YB }；
4. processor chips 109 turn according to the original RAW pixel data I { YR, YG, YB } of image and pixel unit photoelectricity
Relationship is changed, drives imaging sensor 105 and LED illumination light source 106 and optical imaging lens 102 to focus, realizes feedback control；
5. processor chips 109 respectively to the original RAW data I of 3 in imaging array identical RGB wavelength channels YR,
YG, YB } interpolated reconstruction is carried out between pixel；
6. processor chips 109 export the image I { r, g, b } after interpolated reconstruction, each pixel separately includes rgb pixel
Value.
Further explain, in procedure described above, the imaging array of imaging sensor 105 be N*M RGB-IR at
As unit, the original RAW data I { YR, YG, YB } of 3 identical RGB wavelength channels is each respectively (N/2) * (M/2) a quantity
A quantity imaging unit pixel interpolating of (N/2) * (M/2) of imaging unit, each identical wavelength channel is redeveloped into N*M quantity picture
Element.It is N*M number of pixels by carrying out interpolated reconstruction between (N/2) * (M/2) pixel of identical wavelength channel respectively, both often
A pixel separately includes rgb pixel value.
Further to explain, pixel unit photoelectric conversion relationship includes formula EQ3, EQ4 in procedure described above 4,
EQ5.Processor chips 109 can according to imaging sensor 105 export image original RAW pixel data I YR, YG,
YB } and corresponding formula EQ3, EQ4, EQ5, the reset time of integration of feedback control imaging sensor 105, digital and analog gain
Setting, feedback control LED current driver 108 drive the radiation intensity of LED illumination light source 106, angle of radiation position, and radiation
Time is for improving image quality.
Optical imaging lens 102 focus the focus matter by calculating the original RAW pixel data I { YR, YG, YB } of image
Magnitude feedback control realizes preposition photo electric imaging system focusing task object distance WD at least 30cm-100cm.It can be used traditional automatic
Focusing method such as focus quality peak-peak iterative search.
Processor chips 109 can by light sensor (the case where according to using, can be in processor chips 109
Individually an additional device, the method for setting are present well-known technique in this way for setting, or can also be by market
The upper corresponding processor chips of buying realize such light sensor function) according to current environmental light brightness, control LED current
The radiation intensity of the driving of driver 108 LED illumination light source 106RGB.Further, if 1 light of the specific embodiment of the invention passes
When sensor is greater than 500-1000lux or more according to current environmental light brightness judgement, closes LED current driver and drive LED illumination
Light source 106RGB.
Further, the original RAW pixel of image that processor chips 109 can be exported by imaging sensor 105
Data, the optical black level for executing imaging sensor correct BLC, RGB channel automatic white balance AWB, RGB channel color matrices school
Positive CCM, lens shading correction positive lens shading correction, automatic exposure feedback control AEC, automatic gain are anti-
Feedback control AGC etc..
Iris recognition photoelectronic imaging method, comprising the following steps:
1. processor chips 109 control LED current driver 108 drive LED illumination light source 106 (106IR) generate IR at
As wavelength is continuous or the radiation of lock-out pulse mode；
2. by the filtering of IR imaging wavelength and physics Refractive focusing, 105 imaging array individual reception IR wave of imaging sensor
Long-channel carries out global frame pattern or rolls row mode reset integral (exposure) and read；
3. the original RAW pixel of image that processor chips 109 obtain identical IR wavelength channel output in imaging array
Data I { YIR }；
4. processor chips 109 are closed according to the original RAW pixel data I { YIR } of image and pixel unit photoelectric conversion
System drives imaging sensor 105 and LED illumination light source 106 and optical imaging lens 102 to focus, realizes feedback control；
5. processor chips 109 are between original RAW data I { YIR } pixel of IR wavelength channel identical in imaging array
Carry out interpolated reconstruction；
6. processor chips 109 export the image I { ir } after interpolated reconstruction.
Further to explain, the imaging array of imaging sensor 105 is N*M RGB-IR imaging unit in above step,
The original RAW data I { YIR } of identical IR wavelength channel is a quantity imaging unit of (N/2) * (M/2), identical IR wavelength channel
(N/2) a quantity imaging unit pixel interpolating of * (M/2) is redeveloped into N*M number of pixels.By (the N/ of identical IR wavelength channel
2) it is N*M number of pixels that interpolated reconstruction is carried out between * (M/2) pixel.
It further explains, 4 pixel unit photoelectric conversion relationship of procedure described above includes formula EQ6.Processor core
The original RAW pixel data of image and formula EQ6 that piece 109 can be exported according to imaging sensor 105, feedback control image
The reset time of integration of sensor 105, number and analog gain setting, feedback control LED current driver 108 drive LED to shine
The radiation intensity in Mingguang City source 106, angle of radiation position and radiated time are for improving image quality.Optical imaging lens 102 are poly-
Coke by calculate the original RAW pixel data I { YIR } of image focus mass value feedback control realize iris recognition photoelectricity at
As system focusing task object distance WD at least 10cm-30cm.Traditional Atomatic focusing method such as focus quality peak-peak can be used
Iterative search.
Further, the original RAW pixel of image that processor chips 109 can be exported by imaging sensor 105
Data, the optical black level for executing imaging sensor correct BLC, automatic exposure feedback control AEC, automatic gain feedback control
AGC。
Simplify citing, the iris recognition photoelectronic imaging method, packet as what the specific embodiment of the invention 1 equally understood
Include following steps:
LED illumination light source (106IR) is driven to generate IR imaging wave 1. processor chips 109 control LED current driver 108
Long continuous or lock-out pulse mode radiation；
2. by the filtering of IR imaging wavelength and physics Refractive focusing, 105 imaging array individual reception IR wave of imaging sensor
Long-channel carries out global frame pattern or rolls row mode reset integral (exposure) and read；
3. the original RAW pixel of image that processor chips 109 obtain identical IR wavelength channel output in imaging array
Data I { YIR }；
4. processor chips 109 are closed according to the original RAW pixel data I { YIR } of image and pixel unit photoelectric conversion
System drives imaging sensor 105 and LED illumination light source (106IR) and optical imaging lens 102 to focus, realizes feedback control；
5. processor chips 109 export original RAW data I { YIR } pixel of IR wavelength channel identical in imaging array.
Above-mentioned simplified citing is as the equally understanding of the specific embodiment of the invention 1, the iris recognition photoelectronic imaging method
Remove progress interpolated reconstruction step between original RAW data I { YIR } pixel.
Interpolated reconstruction described in the specific embodiment of the invention 1 is using 4 sides between identical wavelength channel pixel in imaging array
To the original RAW interpolation of data value-based algorithm of neighborhood pixels.
The interpolation algorithm includes tradition:
Closest interpolation Nearest-neighbor interpolation, linear interpolation Linear
Interpolation, bilinear interpolation bilinear interpolation, bi-cubic interpolation bicubic
Interpolation, spline interpolation Spline interpolation etc..
In view of iris or this kind of image texture of face have nature continuity Characteristics, based on the correlation between image pixel
Property, the present invention provides more rapidly effective interpolation algorithm, with reference to Fig. 5 schematic diagram, comprising the following steps:
1. sampling the original 4 direction transpostion interval of RAW interpolation pixel data of image of identical wavelength channel output
Pixel value is respectively as follows: the identical wavelength channel pixel Pixel_SC when front direction, the pixel of the identical wavelength channel of horizontal direction
Pixel_SH, the pixel Pixel_SV of the identical wavelength channel of vertical direction, the pixel of the identical wavelength channel of diagonal direction
Pixel_SD；
Identical 4 direction transpostion interval of wavelength channel pixel sampling is the pixel unit because of the identical wavelength channel of imaging array
It is according to 4 direction 2*2 transpostion interval array formats.
2. 4 direction neighborhood pixels interpolation of interpolation pixel data are calculated, Pixel_C, Pixel_H, Pixel_V,
Pixel_D:
As the pixel Pixel_C=Pixel_SC of front direction；
The neighborhood pixels interpolation Pixel_H=(Pixel_SH+Pixel_SC)/2 of horizontal direction；
The neighborhood pixels interpolation Pixel_V=(Pixel_SV+Pixel_SC)/2 of vertical direction；
The neighborhood pixels interpolation Pixel_D=(Pixel_SH+Pixel_SV+Pixel_SD+Pixel_SC) of diagonal direction/
4；
3. circulation step 1- step 2, traversal calculates original RAW interpolation pixel data all in image, is formed
Final complete interpolated image data.
As equivalent understanding, the neighborhood pixels interpolation algorithm in above-mentioned 4 direction can similarly promote interpolation algorithm.
The present invention provides a kind of iris forgery proofing biopsy method of high security, and having has iris counterfeit
Real-time detection ability, for guaranteeing the safety of bio-identification itself, comprising:
It should be using with one or more of following manner:
The biological organism optical activity characteristic real-time detection method that the radiation of 1.RGB-IR imaging wavelength generates；
The pupil iris diameter change rate biological tissue activity characteristic real-time detection that the radiation of 2.RGB-IR imaging wavelength generates
Method；
The optics of cornea reflection position real-time detection method that the radiation of 3.RGB-IR imaging wavelength generates；
4. the activity characteristic real-time detection method of eyeball physiological movement.
Above-described real-time detection is that iris forgery proofing biopsy method flow processing speed is greater than Image Acquisition
Frame rate；The Image Acquisition frame rate is 120fps, 90fps, 60fps, 30fps, the higher iris of Image Acquisition frame rate
Forgery proofing biopsy method reliability is stronger.
The biological organism optical activity characteristic real-time detection method that RGB-IR imaging wavelength radiation of the invention generates, including
Following steps:
1. processor chips 109 control LED current driver 108 and drive LED illumination light source 106 (106RGB and 106IR)
The radiation of RGB imaging wavelength and the radiation of IR imaging wavelength are generated in real time；
2. the RGB wavelength channel and IR wavelength channel of 109 real-time image acquisition sensor of processor chips, 105 imaging array
Real time imagery the image IRGB and IIR of output；
3. pair that processor chips 109 calculate RGB image IRGB and IR image IIR in step 2 in real time respectively
Than degree Csk, Csi, Cip, Csip, Ckip data, respectively IRGB_Csk, IRGB_Csi, IRGB_Cip, IRGB_Csip,
IRGB_Ckip, IIR_Csk, IIR_Csi, IIR_ip, IIR_Csip, IIR_Ckip；
Wherein:
Contrast of the Csk between skin area and iris region；
Contrast of the Csi between sclera region and iris region；
Contrast of the Cip between iris region and pupil region；
Csip is sclera region, the mutual contrast between iris region and pupil region；
Ckip is skin area, the mutual contrast between iris region and pupil region；
Csk=S (Iskin)/S (Iiris)；
Csi=S (Isclera)/S (Iiris)；
Cip=S (Iiris)/S (Ipupil)；
Csip=(S (Isclera)-S (Iiris))/(S (Iiris)-S (Ipupil))；
Ckip=(S (Iskin)-S (Iiris))/(S (Iiris)-S (Ipupil))；
Ipupil indicates pupil region pixel；
Iiris indicates iris region pixel；
Isclera indicates sclera region pixel；
Iskin indicates skin area pixel；
The function S is corresponding region pixels statistics valuation functions, the method that the pixels statistics valuation functions use
It include: statistics with histogram, frequency statistics, average value statistics, weighted average Data-Statistics, median statistics, energy value statistics, variance system
Meter, space-frequency domain filter etc.；Corresponding region pixels statistics valuation functions S of the invention is not limited to the example above, other party
Method should equally be understood.
4. the image comparison that processor chips 109 calculate the radiation of RGB imaging wavelength and the radiation of IR imaging wavelength in real time respectively
Spend activity change rate Fsk and Fsi, Fip, Fsip, Fkip；
Wherein:
Fsk=IRGB_Csk/IIR_Csk*100%；
Fsi=IRGB_Csi/IIR_Csi*100%；
Fip=IIR_Cip/IRGB_Cip*100%；
Fsip=IRGB_Csip/IIR_Csip*100%；
Fkip=IRGB_Ckip/IIR_Ckip*100%；
5. according to data value in RGB-IR imaging wavelength irradiating biological organism optical activity characteristic preset value and step 4
The active contrast corresponding change rate of Fsk, Fsi, Fip, Fsip, Fkip judge any one or multinomial condition Fsk > 300%,
Fsi > 300%, Fip > 300%, Fsip > 900%, Fkip > 900% realize real-time detection iris condition of living organism.
It further explains, due to what the iris melanocyte of different ethnic groups generated the radiation of RGB-IR imaging wavelength
Scattering optical activity characteristic difference is absorbed, biological organism optical activity characteristic preset value is also because of difference, such as melanocyte mistake
Few light iris ethnic group is and black to the active contrast corresponding change rate of independent B wavelength channel and independent IR wavelength channel
The excessive dark-coloured iris ethnic group of chromatophore is corresponding to the active contrast of independent B wavelength channel and independent IR wavelength channel
Change rate is entirely different.Therefore identical or equivalent understanding, above-mentioned biological organism optical activity characteristic preset value Rule of judgment should
With different variation ranges.However regardless of above-mentioned variation range, it was determined that iris biological tissue is to difference
The biological organism optical activity characteristic that the radiation of RGB-IR imaging wavelength generates has different dynamic activity contrast change rates anti-
Reflect iris condition of living organism.
Fig. 6 is the contrasted zones schematic diagram that the specific embodiment of the invention 1 defines iris image.As schematic diagram 6 indicates institute
Show, wherein Isclera, Iiris, Ipupil, Iskin definition:
1 indicates pupil region pixel for pupil region Ipupil；
2 indicate iris region pixel for iris region Iiris；
3 indicate sclera region pixel for sclera region Isclera；
4 indicate skin area pixel for skin area Iskin；
The pupil iris diameter change rate biology that the radiation of RGB-IR imaging wavelength described in the specific embodiment of the invention 1 generates
Activity characteristic detection method, comprising the following steps:
1. processor chips 109 control LED current driver 108 and drive LED illumination light source 106 (106RGB and 106IR)
Generate RGB the and/or IR imaging wavelength radiation under the conditions of varying strength dil, con and time Δ t in real time respectively, stimulation pupil produces
Raw biological tissue activity expansion and contraction；
2. the RGB-IR wavelength channel output that processor chips 109 distinguish 105 imaging array of real-time image acquisition sensor
Different radiated time Δ t and intensity dil, con under the conditions of real time imagery image Idil and Icon；
3. the pupil that processor chips 109 calculate iris image in image Idil and Icon in step 2 in real time respectively
With iris diameter ratio ρ data, respectively ρ dil and ρ con；
ρ=Dpupil/Diris,
The Dpupil is pupil diameter length in pixels；
The Diris is iris diameter length in pixels；
4. processor chips 109 calculate corresponding activity change rate Δ ρ=(ρ dil- ρ con)/Δ t*100% in real time:
5. the biological tissue activity expansion and contraction generated according to the real-time stimulation pupil under varying strength and time conditions
Preset value and step 4 in data value Δ ρ corresponding activity change rate, judge 10% condition of Δ ρ >, realize real-time detection rainbow
Film condition of living organism.
Fig. 7 is the pupil and iris diametric representation that the present invention defines iris image.Shown in indicating such as schematic diagram 7, wherein
Dpupil, Diris definition:
The Dpupil is pupil diameter length in pixels；
The Diris is iris diameter length in pixels；
The optics of cornea reflection position detection method that RGB-IR imaging wavelength radiation of the present invention generates, including it is following
Step:
1. processor chips 109 control LED current driver 108 and drive LED illumination light source 106 (106RGB or 106IR)
Respectively in real time generate left side Psrl, right side Psrr and left and right 2 side Psrl&Psrr different locations under the conditions of RGB and/or IR imaging
Wavelength radiation is formed in the optics of cornea reflection point of different location；
2. the RGB-IR wavelength channel output that processor chips 109 distinguish 105 imaging array of real-time image acquisition sensor
Real time imagery image Isr；
3. the optics of cornea reflection point position data that processor chips 109 calculate image Isr in step 2 in real time respectively
Psr；
4. being calculated in the preset value and step 3 under the conditions of generating different location in real time respectively according to LED illumination light source 106
The optics of cornea reflection point position Psr arrived, judges whether optics of cornea reflection point position Psr meets corresponding LED illumination light source position
Set condition:
If LED illumination light source position is Psrl, it should meet Psr=Psrl；
If LED illumination light source position is Psrr, it should meet Psr=Psrr；
If LED illumination light source position is Psrl&Psrr, it should meet Psr=Psrl&Psrr；
Realize real-time detection iris condition of living organism.
Fig. 8 is the optical reflection point schematic diagram for the cornea different location that the present invention defines iris image.As schematic diagram 8 indicates
Shown, wherein Psrl, Psrr, Psrl&Psrr are defined:
The Psrl is the optics of cornea reflection point that LED illumination light source generates leftward position；
The Dsrr is the optics of cornea reflection point that LED illumination light source generates right positions；
The Psrl&Psrr is the optics of cornea reflection point that LED illumination light source generates 2 side positions of left and right.
It further explains, identical or equivalent understanding, the cornea that RGB-IR imaging wavelength radiation of the present invention generates
Optical reflection method for detecting position, if not generating the radiation of RGB-IR imaging wavelength, angle is not present in corresponding image certainly
Film optical reflection point position, thus can also be equivalent using generate/or do not generate RGB-IR imaging wavelength radiation accordingly at
As generation/in image or the method for not generating optics of cornea reflection point position, real-time detection iris condition of living organism is realized.
The activity characteristic real-time detection method of eyeball physiological movement of the invention, including real-time detection eyeball physiological movement produce
Raw eyelid movement activity characteristic, comprising the following steps:
1. processor chips 109 control LED current driver 108 and drive LED illumination light source 106 (106RGB or 106IR)
The radiation of RGB-IR imaging wavelength is generated in real time；
2. the reality that the RGB-IR wavelength channel of 109 real-time image acquisition sensor of processor chips, 105 imaging array exports
When image Iem；
3. processor chips 109 calculate the eyelid movement that the eyeball physiological movement of image Iem in step 2 generates in real time
Characteristic level data FM；
Wherein:
The eyelid movement characteristic degree FM that eyeball physiological movement generates is defined as:
EM=Visual_Iris/All_Iris*100%；
All_Iris is the pixel quantity in iris entire area region in image Iem；
Visual_Iris is the pixel quantity in the iris effective area region that eyelid movement is formed in image Iem；
4. calculating the activity change rate value Δ EM for the eyelid movement characteristic degree EM that eyeball physiological movement generates in real time；
Wherein:
The eyelid movement characteristic degree activity change rate value Δ EM that eyeball physiological movement generates is defined as: consecutive image Iem
Between EM absolute difference；
5. according in the activity change rate preset value and step 4 of the eyelid movement characteristic degree of eyeball physiological movement generation
The activity change rate value Δ EM for the eyelid movement characteristic level data EM that the eyeball physiological movement calculated generates, judges Δ EM >
10% condition realizes real-time detection iris condition of living organism.
Fig. 9 is the schematic diagram that the present invention defines the eyelid movement characteristic degree that eyeball physiological movement generates.As schematic diagram 9 is marked
Shown in showing, dotted line All_Iris indicates the pixel quantity in iris entire area region, solid line Visual_Iris table in image
Show the pixel quantity in iris effective area region.
The activity characteristic real-time detection method of eyeball physiological movement of the present invention, including real-time detection eyeball physiology fortune
The raw activity characteristic squinted off axis of movable property, comprising the following steps:
1. processor chips 109 control LED current driver 108 and drive LED illumination light source 106 (106RGB or 106IR)
The radiation of RGB-IR imaging wavelength is generated in real time；
2. the reality that the RGB-IR wavelength channel of 109 real-time image acquisition sensor of processor chips, 105 imaging array exports
When image Ieg；
3. the off-axis strabismus that the eyeball physiological movement that processor chips calculate image Ieg in step 2 in real time generates is special
Property level data EG；
Wherein:
The off-axis strabismus characteristic degree EG that eyeball physiological movement generates is defined as:
EG=S_Iris/L_Iris*100%；
S_Iris is the iris short axle length in pixels for squinting formation in image Ieg off axis；
L_Iris is the iris long axis length in pixels for squinting formation in image Ieg off axis；
4. calculating the activity change rate value Δ EG for the off-axis strabismus characteristic degree EG that eyeball physiological movement generates in real time；
Wherein:
The off-axis strabismus characteristic degree activity change rate value Δ EG that eyeball physiological movement generates is defined as: consecutive image Ieg
Between EG absolute difference；
5. according in the activity change rate preset value and step 4 of the off-axis strabismus characteristic degree of eyeball physiological movement generation
The activity change rate value Δ EG for the off-axis strabismus characteristic level data EG that the eyeball physiological movement calculated generates, judges Δ EG >
10% condition realizes detection iris condition of living organism.
Figure 10 is the schematic diagram that this hair defines the off-axis strabismus physiological movement activity characteristic degree that eyeball physiological movement generates.
Shown in indicating such as schematic diagram 10, S_Iris indicates iris short axle length in pixels in image, and L_Iris indicates iris long axis picture
Plain length.
The specific embodiment content and technical characteristic that the present invention describes, can be in the range of identical or equivalent understanding by reality
It applies, if imaging wavelength range changes, imaging sensor variation, LED illumination light source variation, optical light filter variation, optical imagery
Lens variation, light chopper, device substitution also should equally be understood.
The above list is only a few specific embodiments of the present invention for finally, it should also be noted that.Obviously, this hair
Bright to be not limited to above embodiments, acceptable there are many deformations.Those skilled in the art can be from present disclosure
All deformations for directly exporting or associating, are considered as protection scope of the present invention.
Claims (5)
1. a kind of iris forgery proofing In vivo detection system based on RGB-IR imaging, characterized in that the system comprises:
Imaging sensor, imaging array are configured with the RGB-IR wavelength channel of individual reception function；
LED illumination light source is configured with RGB-IR radiant image wavelength, different radiation intensity and radiated time, one
Or multiple and different angle of radiation positions；
Processor chips, radiation RGB-IR imaging wavelength, the radiation for being configured with real-time control LED illumination light source are strong
Degree, radiated time, angle of radiation position, the RGB-IR image of real-time image acquisition sensor individual wavelengths channel output,
And real-time detection calculates the living body characteristic of image；
Wherein the LED illumination light source is configured with synchronous continuous or pulsed irradiation sessions and spoke with imaging sensor
Penetrate intensity；
The system realizes forgery proofing In vivo detection using the activity characteristic real-time detection method of eyeball physiological movement.
2. iris forgery proofing In vivo detection system according to claim 1, characterized in that the realization forgery proofing is living
The method that physical examination is surveyed includes the eyelid movement activity characteristic that real-time detection eyeball physiological movement generates, specifically includes the following steps:
A. the radiation of RGB-IR imaging wavelength is generated in real time；
B. the real time imagery image Iem of the RGB-IR wavelength channel output of real-time image acquisition sensor imaging array；
C. the eyelid movement characteristic level data EM that the eyeball physiological movement of image Iem in step b generates is calculated in real time；
D. the activity change Shuai Zhi ⊿ EM for the eyelid movement characteristic degree EM that eyeball physiological movement generates is calculated in real time；
E. it is calculated in the activity change rate preset value and step d of the eyelid movement characteristic degree generated according to eyeball physiological movement
The activity change Shuai Zhi ⊿ EM for the eyelid movement characteristic level data EM that the eyeball physiological movement arrived generates judges whether to meet pre-
If the condition of value determines iris for condition of living organism if meeting.
3. iris forgery proofing In vivo detection system according to claim 2, it is characterized in that in step c:
The eyelid movement characteristic degree EM that the eyeball physiological movement generates is defined as:
EM=Visual_Iris/All_Iris*100%；
All_Iris is the pixel quantity in iris entire area region in image Iem；
Visual_Iris is the pixel quantity in the iris effective area region that eyelid movement is formed in image Iem；
Eyelid movement characteristic degree activity change rate value ⊿ EM in the step d is defined as: in step c between consecutive image Iem
The absolute difference of EM；
In the step e preset value Rule of judgment of the activity change rate value ⊿ EM of eyelid movement characteristic degree EM be ⊿ EM >
10%.
4. iris forgery proofing In vivo detection system according to claim 1, characterized in that the realization forgery proofing is living
The method that physical examination is surveyed includes the activity characteristic squinted off axis that real-time detection eyeball physiological movement generates, and specifically includes following step
It is rapid:
A. the radiation of RGB-IR imaging wavelength is generated in real time；
B. the real time imagery image Ieg of the RGB-IR wavelength channel output of described image sensor imaging array is obtained in real time；
C. the off-axis strabismus characteristic level data EG that the eyeball physiological movement of image Ieg in step B generates is calculated in real time；
D. the activity change Shuai Zhi ⊿ EG for squinting characteristic degree EG in the generation of eyeball physiological movement off axis is calculated in real time；
E. it is calculated in the activity change rate preset value and step D of the off-axis strabismus characteristic degree generated according to eyeball physiological movement
The activity change Shuai Zhi ⊿ EG for the off-axis strabismus characteristic level data EG that the eyeball physiological movement arrived generates judges whether to meet pre-
If the condition of value determines iris for condition of living organism if meeting.
5. iris forgery proofing In vivo detection system according to claim 4, it is characterized in that in the step C:
The off-axis strabismus characteristic degree EG that the eyeball physiological movement generates is defined as:
EG=S_Iris/L_Iris*100%；
S_Iris is the iris short axle length in pixels for squinting formation in image Ieg off axis；
L_Iris is the iris long axis length in pixels for squinting formation in image Ieg off axis；
Characteristic degree activity change rate value ⊿ EG is squinted in the step D off axis is defined as: in step C between consecutive image Ieg
The absolute difference of EG；
Squinted off axis in the step E activity change rate value ⊿ EG of characteristic degree EG preset value Rule of judgment be ⊿ EG >
10%.
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| CN109700470A (en) | 2019-05-03 |
| CN109583316A (en) | 2019-04-05 |
| CN105395203B (en) | 2020-12-15 |
| WO2016058527A1 (en) | 2016-04-21 |
| CN105243368B (en) | 2017-03-15 |
| WO2016058528A1 (en) | 2016-04-21 |
| CN105395203A (en) | 2016-03-16 |
| CN109700469B (en) | 2021-08-06 |
| CN109583316B (en) | 2021-11-19 |
| CN105243368A (en) | 2016-01-13 |
| CN105574483A (en) | 2016-05-11 |
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