CN110462630A

CN110462630A - For the optical sensor of recognition of face, device, method and electronic equipment

Info

Publication number: CN110462630A
Application number: CN201980000834.3A
Authority: CN
Inventors: 吴勇辉; 潘雷雷
Original assignee: Shenzhen Huiding Technology Co Ltd
Current assignee: Shenzhen Goodix Technology Co Ltd
Priority date: 2019-05-27
Filing date: 2019-05-27
Publication date: 2019-11-15
Also published as: WO2020237482A1

Abstract

It is a kind of for the optical sensor of recognition of face, device, method and electronic equipment, it is able to ascend the safety of recognition of face, the optical sensor for being used for recognition of face includes: pixel array, the first pixel unit set in the pixel array includes first kind pixel unit group and the second class pixel unit group, wherein: the first kind pixel unit group includes at least one first kind pixel unit, the first optical filter is arranged in the first kind pixel unit, and first optical filter is used for the optical signal by first band range；The second class pixel unit group includes at least one second class pixel unit, the second optical filter is arranged in the second class pixel unit, second optical filter is used for the optical signal by second band range, and the second band range is different from the first band range；Pixel unit in the first kind pixel unit group and the second class pixel unit group is for receiving the reflected light signal that optical signal launched by light source is reflected from face, and local facial image is obtained according to the reflected light signal, the local facial image is for determining the true and false of the face.

Description

For the optical sensor of recognition of face, device, method and electronic equipment

Technical field

This application involves technical field of face recognition, and pass more particularly, to a kind of optics for recognition of face Sensor, device, method and electronic equipment.

Background technique

Safe and convenient and fast user experience is brought to user using the electronic equipment of face recognition technology still to pass through User picture (for example, printing or electronics), or the human face data of the forgeries such as 3D face mold of manufacture is recognition of face A security risk in.Therefore, true and false face how is identified, being one to promote the safety of recognition of face needs to solve Certainly the problem of.

Summary of the invention

The embodiment of the present application provides a kind of for the optical sensor of recognition of face, device, method and electronic equipment, energy Identify the true and false of face, enough so as to promote the safety of recognition of face.

In a first aspect, providing a kind of optical sensor for recognition of face, comprising: pixel array, the pixel battle array The first pixel unit set in column includes first kind pixel unit group and the second class pixel unit group, in which:

The first kind pixel unit group includes at least one first kind pixel unit, the first kind pixel unit setting First optical filter, first optical filter are used for the optical signal by first band range；

The second class pixel unit group includes at least one second class pixel unit, the second class pixel unit setting Second optical filter, second optical filter is used for the optical signal by second band range, and the second band range is different In the first band range；

Pixel unit in the first kind pixel unit group and the second class pixel unit group is for receiving by light source The reflected light signal that the optical signal of transmitting is reflected from face, and local facial image is obtained according to the reflected light signal, it is described Local facial image is for determining the true and false of the face.

In some possible implementations, the first pixel unit set further includes third class pixel unit group, institute Stating third class pixel unit group includes at least one third class pixel unit, and the third class pixel unit setting third filters Piece, the third optical filter are used for the optical signal by third wavelength band, and the third wavelength band is different from described first Wavelength band and the second band range, the first kind pixel unit group, the second class pixel unit group and described Pixel unit in three classes pixel unit group is for receiving the reflection that the optical signal emitted by the light source is reflected from the face Optical signal, and local facial image is obtained according to the reflected light signal, the local facial image is for determining the face It is true and false.

In some possible implementations, the first band range, the second band range and the third wave Segment limit is respectively one of following three kinds of wavelength bands:

Wavelength band including 560nm, the wavelength band including 980nm, the wavelength band including 940nm.

In some possible implementations, the wavelength band of the optical signal of the light source transmitting includes the first band Range, the second band range and the third wavelength band.

In some possible implementations, the quantity of continuous pixel unit is less than in the first pixel unit set Or it is equal to first threshold.

In some possible implementations, the quantity of the pixel unit in the first pixel unit set and the picture The ratio of the total quantity of pixel unit in pixel array is less than the first ratio.

In some possible implementations, pixel unit in the first pixel unit set is discrete be distributed in it is described In pixel array.

In some possible implementations, other in the pixel array in addition to the first pixel unit set The facial image of pixel unit acquisition is used for recognition of face.

In some possible implementations, other in the pixel array in addition to the first pixel unit set Pixel unit is not provided with optical filter.

In some possible implementations, other in the pixel array in addition to the first pixel unit set The optical filter of pixel unit setting specific band range.

In some possible implementations, the optical filter of the specific band range be include 940nm wavelength band Optical filter.

Second aspect provides a kind of device for recognition of face, comprising:

Such as the optical sensing for recognition of face in first aspect to second aspect and its any possible implementation Device, wherein first kind pixel unit group and the second class pixel unit in the first pixel unit set of the optical sensor Pixel unit in group is used to receive the reflected light signal that optical signal launched by light source is reflected from face, and according to the reflection Optical signal obtains local facial image；

Processor, for determining the true and false of the face according to the local facial image.

In some possible implementations, the first pixel unit set includes first kind pixel unit group, and second Class pixel unit group and third class pixel unit group, in which:

The third class pixel unit group includes at least one third class pixel unit, the third class pixel unit setting Third optical filter, the third optical filter are used to be different from by the optical signal of third wavelength band, the third wavelength band The first band range and the second band range；

Wherein, the first kind pixel unit group, the second class pixel unit group and the third class pixel unit group In pixel unit for receiving the reflected light signal that the optical signal emitted by the light source is reflected from face, and according to it is described instead It penetrates optical signal and obtains local facial image, the local facial image is for determining the true and false of the face.

In some possible implementations, the processor is also used to:

According to calibration parameter, to the first partial facial image of first kind pixel unit group acquisition, second class Second local facial image of pixel unit group acquisition and the third local facial image of third class pixel unit group acquisition It is calibrated；

According to the first partial facial image after calibration, the described second local facial image and the third people from part Face image determines the true and false of the face.

In some possible implementations, the processor is also used to:

According to references object to the first band range, the light of the second band range and the third wavelength band Relationship between the response of spectrum determines the calibration parameter.In some possible implementations, the optical sensor is also used In:

When the light source emits optical signal to the references object, by the first kind pixel unit group, described the Two class pixel unit groups and the third class pixel unit group acquire the references object to the first band range, institute respectively State the response of the spectrum of second band range and the third wavelength band；

The processor is also used to: according to the references object to the first band range, the second band range With the response of the spectrum of the third wavelength band, determine that the calibration parameter, the calibration parameter are used for so that described first The references object of class pixel unit group, the second class pixel unit group and third class pixel unit group acquisition is to institute State first band range, the response of the spectrum of the second band range and the third wavelength band is in same range.

In some possible implementations, the references object is white object, or yellowish pink object.

In some possible implementations, the processor is also used to:

According to the first partial facial image after calibration, the described second local facial image and the third people from part Face image is synthesized, and colored local facial image is obtained, wherein each pixel in the colour local facial image includes The face is to the first band range, three responses of the spectrum of the second band range and the third wavelength band Pixel value；

The colored local facial image is subjected to feature extraction, obtains the feature letter of the colored local facial image Breath；

According to the characteristic information of the colored local facial image, the true and false of the face is determined.

In some possible implementations, the processor is also used to:

Pixel value is used according to what first kind pixel unit in the first kind pixel unit group acquired, determines the colour The corresponding first response pixel value of the first pixel in the image of local facial, wherein described in the first response pixel value expression Response of the face to the spectrum of the first band range；

According to the pixel value that the second class pixel unit neighbouring with the first kind pixel unit acquires, described first is determined The corresponding second response pixel value of pixel, wherein the second response pixel value indicates the face to the second band model The spectral response enclosed；And

According to the pixel value that the third class pixel unit neighbouring with the first kind pixel unit acquires, described first is determined The corresponding third of pixel responds pixel value, and the third response pixel value indicates the face to the light of the third wavelength band Spectrum response.

In some possible implementations, the processor is specifically used for:

It is handled by characteristic information of the deep learning network to the colored local facial image, determines the face It is true and false.

In some possible implementations, the processor is also used to:

From in the facial image of multiple real human faces that the optical sensor acquires and false face, described first is extracted Multiple local facial images of pixel unit set acquisition；

Calibration and synthesis processing are carried out to the multiple local facial image, obtain multiple colored local facial images；

The multiple colored local facial image is input to deep learning network to be trained, obtains the deep learning The model and parameter of network.

In some possible implementations, the processor is also used to:

According to the face of other pixel units acquisition in the pixel array in addition to the first pixel unit set Image carries out recognition of face.

The third aspect provides a kind of method for recognition of face, comprising:

By pixel unit in the first pixel unit set of optical sensor receive optical signal launched by light source from The reflected light signal of face reflection, and local facial image is obtained according to the reflected light signal；

Wherein, the first pixel unit set includes first kind pixel unit group and the second class pixel unit group, described First kind pixel unit group includes at least one first kind pixel unit, and the first optical filter is arranged in the first kind pixel unit, First optical filter is used for the optical signal by first band range；The second class pixel unit group include at least one The second optical filter is arranged in two class pixel units, the second class pixel unit, and second optical filter is for passing through second band The optical signal of range, and the second band range is different from the first band range；

According to the local facial image for determining the true and false of the face.

The first pixel unit set described in some possible implementations further includes third class pixel unit group, described Third class pixel unit group includes at least one third class pixel unit, and third optical filter is arranged in the third class pixel unit, The third optical filter is used for the optical signal by third wavelength band, and the third wavelength band is different from the first band Range and the second band range.

The wavelength band of the optical signal of the transmitting of the light source described in some possible implementations includes the first band Range, the second band range and the third wavelength band.

According to the local facial image for determining the true and false of the face described in some possible implementations, Include:

In some possible implementations, the method also includes:

According to references object to the first band range, the light of the second band range and the third wavelength band Relationship between the response of spectrum determines the calibration parameter.

In some possible implementations, it is described according to references object to the first band range, second wave Relationship between segment limit and the response of the spectrum of the third wavelength band, determines the calibration parameter, comprising:

According to the references object to the first band range, the second band range and the third wavelength band Spectrum response, determine the calibration parameter, the calibration parameter is used for so that the first kind pixel unit group, described the Two class pixel unit groups and the references object of third class pixel unit group acquisition are described to the first band range The response of the spectrum of second band range and the third wavelength band is in same range.

According to the first partial facial image after calibration, the second game described in some possible implementations Portion's facial image and third local facial image determine the true and false of the face, comprising:

According to the first partial facial image after calibration, the second game described in some possible implementations Portion's facial image and third local facial image are synthesized, and colored local facial image is obtained, comprising:

According to the characteristic information of the colored local facial image described in some possible implementations, determine described in Face it is true and false, comprising:

The method described in some possible implementations further include:

Described in some possible implementations according in the pixel array remove the first pixel unit set with The facial image of outer other pixel units acquisition carries out recognition of face, comprising:

If the facial image is matched with the facial image registered and the face is real human face, determine recognition of face at Function.

The quantity of continuous pixel unit is less than in the first pixel unit set described in some possible implementations First threshold.

The quantity of pixel unit in the first pixel unit set described in some possible implementations and the picture The ratio of the total quantity of pixel unit in pixel array is less than the first ratio.

Pixel unit in the first pixel unit set described in some possible implementations is discrete be distributed in it is described In pixel array.

Other in the pixel array described in some possible implementations in addition to the first pixel unit set The facial image of pixel unit acquisition is used for recognition of face.

Other in the pixel array described in some possible implementations in addition to the first pixel unit set Pixel unit is not provided with optical filter.

Other in the pixel array described in some possible implementations in addition to the first pixel unit set The optical filter of pixel unit setting specific band range.

Fourth aspect provides a kind of electronic equipment, including in such as second aspect and its any possible implementation Device for recognition of face.

5th aspect, provides a kind of computer-readable medium, for storing computer program, the computer program packet It includes for executing the instruction in the above-mentioned third aspect and its any possible implementation.

6th aspect, provides a kind of computer program product including instruction, when computer runs the computer journey When the finger of sequence product, the computer execute in the above-mentioned third aspect and its any possible implementation for face Know method for distinguishing.

Specifically, which can run on the electronic equipment of above-mentioned fourth aspect.

Based on the above-mentioned technical proposal, different types of optical filtering is set by at least two class pixel unit groups in pixel array Piece, so that the pixel unit that optical filter is arranged can acquire the spectral response of the wavelength band of the optical filter, in this way, once exposing In photoreduction process, based on this, at least two class pixel unit groups can acquire at least two spectral responses, not need to carry out multi collect Obtain at least two spectral response, be able to ascend acquisition speed, may further based at least two spectral response into Row vivo identification is conducive to the safety for promoting recognition of face.

Detailed description of the invention

Fig. 1 is the reflection spectrum curve of human skin.

Fig. 2 is the schematic diagram according to the optical sensor for recognition of face of the embodiment of the present application.

Fig. 3 is schematic figure of the filter set in one of pixel array arrangement mode.

Fig. 4 is the schematic figure of the arrangement mode of the optical filter in filter set.

Fig. 5 is the schematic diagram according to the device for recognition of face of the embodiment of the present application.

Fig. 6 is the schematic flow chart according to the method for recognition of face of the embodiment of the present application.

Fig. 7 is the overall flow figure according to the method for recognition of face of the embodiment of the present application.

Fig. 8 is the schematic diagram according to the electronic equipment of the embodiment of the present application.

Specific embodiment

Below in conjunction with attached drawing, technical solutions in the embodiments of the present application is described.

It should be understood that the embodiment of the present application can be applied to various face identification systems, the application scenarios common as one kind, Face identification system provided by the embodiments of the present application can be applied in the mobile terminals such as smart phone, tablet computer and door lock, door Access control system or other electronic equipments.

In traditional face identification system, active false proof is by the way of interaction, for example, being become using blink or expression Modes, this modes such as change usually require a few frame images of continuous acquisition, reduce recognition speed.Usually, by human skin The influence of the factors such as skin thickness, hemoglobin concentration, the melanin content of tissue, human skin tissue is to specific band range Light reflecting properties there is certain particularity, as shown in Figure 1, wavelength band of the skin of human body in 560nm or so, The wavelength band of 980nm has special spectral response, light of this special spectral response in artificial materials such as paper, molds It is not present on spectrum response curve.

Accordingly, this application provides a kind of methods of face active false proof, can be obtained by acquiring a frame image wait know Other target is based further on the spectral response and carries out active false proof to the spectral response of specific band range, is conducive to be promoted and know Other speed, while the safety of recognition of face can also be promoted.

It it should be understood that the target to be identified in the embodiment of the present application can be face, or may be other portions of human body Position, such as finger, palm, the embodiment of the present application are not construed as limiting this.

Hereinafter, the Installation practice of the application is discussed in detail in conjunction with Fig. 2 to Fig. 5.

It should be understood that pixel unit group, the quantity of filter plate and arrangement side in the embodiment of the present application as shown below Formula etc. is merely illustrative, and constitutes any restriction without coping with the application.

Fig. 2 is a kind of schematic diagram of optical sensor 20 for recognition of face provided by the embodiments of the present application, The optical sensor 20 includes:

Pixel array 200, the first pixel unit set 21 in the pixel array 200 include first kind pixel unit group With the second class pixel unit group, in which:

The first kind pixel unit group includes at least one first kind pixel unit 211, the first kind pixel unit 211 the first optical filters 221 of setting, first optical filter 221 are used for the optical signal by first band range；

The second class pixel unit group includes at least one second class pixel unit 212, the second class pixel unit 212 the second optical filters 222 of setting, second optical filter 222 are used for the optical signal by second band range, and described second Wavelength band is different from the first band range；

In the embodiment of the present application, the pixel unit in the first pixel unit set of the optical sensor can be set to Few two different optical filters, will be arranged the pixel unit of same optical filter as one kind pixel unit group, then first picture Plain unit set can be divided at least two class pixel unit groups, optionally, pixel unit in a kind of pixel unit group and such Pixel unit group, which corresponds to the corresponding relationship of the optical filter of type quantitatively, can be one-to-one or many-one, i.e. a picture The corresponding optical filter of plain unit, or be also possible to multiple pixel units and share an optical filter.

For example, a first kind pixel unit 211 can correspond to first optical filter 221, alternatively, being also possible to multiple First kind pixel unit 211 corresponds to first optical filter 221；

Similarly, a second class pixel unit 212 can correspond to second optical filter 222, alternatively, being also possible to more Corresponding second optical filter 222 of a second class pixel unit 212.

Optionally, in some embodiments, optical filter is arranged in the front end optical path of the pixel unit, for example, can be with Optical filter is arranged in the top for needing to be arranged the pixel unit of optical filter, for example, optical filter is pasted onto the pixel unit Upper surface, as long as alternatively, filter can also be directly overlayed on the pixel unit can play filter action i.e. Can, the embodiment of the present application is not construed as limiting this.

Optical filter in the embodiment of the present application only allows the optical signal within the scope of specific band to pass through, in other words, optical filter It is higher to the transmitance of the optical signal within the scope of specific band, it is greater than 80% or 90%, the light of other wavelength bands is believed Number transmitance it is lower, for example, less than 10% or 20%.

In the embodiment of the present application, the wavelength band for the optical signal that optical filter passes through can be it is specially designed, as one A optional implementation can be designed according to the reflection spectrum curve of human skin through the wave for having special spectral response The optical signal of segment limit, for example, the wavelength band of 560nm or so or other visible-ranges, or, the wave band of 980nm or so Range, or the wavelength band of recognition of face performance preferably infrared band range, such as 940nm or so can also be penetrated, or Person can also select suitable wavelength band according to the other biological feature of living body, as long as can have apparent area with prosthese Indexing.

Therefore, in the embodiment of the present application, different-waveband is set by at least two class pixel unit groups in pixel array The optical filter of range, so that the pixel unit that optical filter is arranged can acquire the response of the spectrum of the wavelength band of the optical filter, In this way, based on this, at least two class pixel unit groups can acquire the response of at least two spectrum during single exposure, it is not required to Multi collect is carried out to obtain the response of at least two spectrum, is able to ascend acquisition speed, it may further be based on this extremely The response of few two kinds of spectrum carries out vivo identification, is conducive to the safety for promoting recognition of face.

Optionally, in some embodiments, as shown in Fig. 2, the first pixel unit set 21 can be with third class picture Plain unit group, the third class pixel unit group include at least one third class pixel unit 213, the third class pixel unit 213 setting third optical filters 223, the third optical filter 223 are used for the optical signal by third wavelength band.

Optionally, in the application one embodiment, the first band range, the second band range and described Three wavelength bands are respectively one of following three kinds of wavelength bands:

Optionally, in other embodiments, above three wavelength band can be determined in visible light wave range, for example, can The first band range is arranged, the second band range and the third wavelength band are respectively red spectral band, blue light One kind of wave band and green light band.For example, it is 440nm~475nm, upper cut-off wave that the wavelength band of blue light, which can be center wave band, Duan Yuewei 550nm；It is 520nm~550nm that the wavelength band of green light, which can be center wave band, and upper cut-off wave band is about 620nm, under End wave band 460nm；It is about 550nm that the wavelength band of feux rouges, which can be lower cut-off wave band,.

It should be understood that in the embodiment of the present application, the wavelength band including 560nm can be the wave band of 560nm or so Range, for example, the wavelength band of 560nm ± 20nm or the wavelength band of 560nm ± 40nm etc., specific wavelength band can With by the control process of optical filter, the embodiment of the present application is not construed as limiting this, other wavelength bands are similar, here no longer It repeats.

In the embodiment of the present application, the wavelength band of the optical signal of light source transmitting includes the first band range, described Second band range and the third wavelength band.In this way, face is irradiated by full wave optical signal, further by a variety of Optical filter extracts the response of multiple spectrum, and without the light source using multiple and different wave bands, save the cost reduces mould group Complexity.

Optionally, the people of other pixel units acquisition in the pixel array in addition to the first pixel unit set Face image is used for recognition of face, such as can be by the facial image mould of the facial image of other described pixel units acquisition and registration Plate is matched, it is determined whether successful match.

Optionally, in the embodiment of the present application, its in the pixel array in addition to the first pixel unit set He can be not provided with optical filter by pixel unit, for example, doing transparent processing, transparent material is perhaps arranged or spy also can be set The optical filter of standing wave segment limit, such as the optical filter of 940nm wavelength band.

Hereinafter, combination Fig. 3 and Fig. 4, illustrate the first pixel unit set, arrangement side of the optical filter in pixel array Formula.

Optionally, in the embodiment of the present application, continuous pixel unit in the first pixel unit set can be set Quantity be less than or equal to specific threshold, it is continuous by optical filter in the first pixel unit set by being arranged for example, 6 The number of the pixel unit of covering is less than certain threshold value, and can be avoided influences recognition of face performance.

Optionally, in the embodiment of the present application, the quantity of the pixel unit in the first pixel unit set with it is described The ratio of the total quantity of pixel unit in pixel array is less than the first ratio, such as 5%, to avoid recognition of face is influenced Energy.

Optionally, pixel unit in the first pixel unit set is discrete to be distributed in the pixel array, corresponding Ground, first optical filter, the second optical filter and third optical filter is discrete is distributed in the pixel array.

Optionally, in the application one embodiment, first optical filter, second optical filter, the third filter Mating plate may be constructed a filter set 220, and the filter set 200 is discrete to be distributed in the pixel array 200.For example, As shown in figure 3, the filter set 220 can be square, diamond shape, round or other rules or irregular pattern are arranged in In the pixel array of the optical sensor, as long as not influencing recognition of face performance, the embodiment of the present application is not construed as limiting this.

Optionally, in the embodiment of the present application, the optical filter in a filter set 220 can be discrete, that is, filter It is separated between piece by the pixel unit for being not provided with optical filter, for example, between the design method h~i or optical filter in Fig. 4 It can be continuously, such as design method a~e in Fig. 4, the embodiment of the present application, which is not particularly limited in a filter set, includes The first optical filter, the second optical filter, the quantity and arrangement mode of third optical filter.

Fig. 5 is according to the schematic diagram of the device for recognition of face of the embodiment of the present application, as shown in figure 5, should Device 50 for recognition of face may include:

Optical sensor 51, pixel unit in the first pixel unit set of the optical sensor 51 for receive by The reflected light signal that the optical signal of light source transmitting is reflected from face, and local facial image is obtained according to the reflected light signal；

Processor 52, for determining the true and false of the face according to the local facial image.

The sensor 51 can be the optical sensor 20 in embodiment illustrated in fig. 2, and illustrating can be with reference to shown in Fig. 2 The related description of embodiment, which is not described herein again.

In the embodiment of the present application, the light source can be the built-in light source of described device 50, or be also possible to described The external light source of device 50, or the light source in the electronic equipment that described device 50 is installed can also be multiplexed to emit for living The optical signal of body identification, in this case, described device 50 can not include the light source, the embodiment of the present application does not limit this It is fixed.

The wavelength band of the light source may include multiple wavelength bands, in some embodiments, the light letter of light source transmitting It number can be used for recognition of face, i.e. vivo identification and recognition of face uses same light source；It is described in other alternate embodiments Device 50 for recognition of face can also include another light source for recognition of face, for example, 940nm or so wavelength band Light source, in this case, can pass through the pixel unit in the first pixel unit set acquire topography carry out living body knowledge Not, or vivo identification can also be carried out by the facial image that entire pixel array acquires.

Optionally, as one embodiment, the first pixel unit set includes first kind pixel unit group, the second class Pixel unit group and third class pixel unit group, in which:

The third class pixel unit group includes at least one third class pixel unit, the third class pixel unit setting Third optical filter, the third optical filter are used to be different from by the optical signal of third wavelength band, the third wavelength band The first band range and the second band range.

Based on above-mentioned set-up mode, first kind pixel unit group can obtain target to be identified to the by the first optical filter The response (or response of spectrum) of the optical signal of one wavelength band, the second class pixel unit group can be obtained by the second optical filter Response of the target to be identified to the spectrum of second band range is taken, the third class pixel unit group can pass through third optical filter Obtain response of the target to be identified to the spectrum of third wavelength band, that is to say, that these three types of pixel unit groups can obtain respectively Obtain the response of three kinds of different spectrum.

As an optional implementation, the true and false of face, example can be determined according to the response of above-mentioned different spectrum Such as, the local facial image of the response for the above-mentioned three kinds of spectrum of reflection that every class pixel unit group acquires can be input to and is trained Convolutional neural networks classify, it is determined whether come from real human face.Alternatively, above-mentioned three classes pixel unit group can also be adopted The face of collection is compared the response of three kinds of spectrum with the pixel value that the pixel unit of neighbouring not set optical filter acquires, into Row vivo identification, for example, it may be determined that pixel value that the pixel unit in the first pixel unit set acquires and neighbouring not setting The ratio between the pixel value of the pixel unit acquisition of optical filter is set, vivo identification is carried out according to the ratio, for example, in the ratio When within the scope of certain ratio, it is determined as real human face, is otherwise determined as false face, which can be basis A large amount of real human face and false face data statistics obtains or machine learning obtains.

But artificial material (such as paper) may be with living person to the wave band model to the response of the spectrum of some wavelength band The response of the spectrum enclosed, which exists, to partly overlap, if the response of the spectrum based on the wavelength band carries out vivo identification, may lead Cause misrecognition.In the application one embodiment, every class pixel unit group can be determined for multiple wave bands of target to be identified The response of the spectrum of range, the response of the spectrum of multiple wavelength band may include the target to be identified to first band range Spectrum response, the target to be identified is to the response of the spectrum of second band range and the target to be identified to third wave The response of the spectrum of segment limit, that is to say, that the corresponding spectral response of every class pixel unit group can include face to three kinds The response of the spectrum of different-waveband range, in this way, even if the spectral response of artificial material and some wavelength band of living person exists Overlapping, can also be distinguished by the response of the spectrum of other wavelength bands, so as to promote the accuracy of vivo identification.

In the embodiment of the present application, for the test object of a pure color, for example, white paper, for different-waveband model The spectrum enclosed, theoretically, the spectral response of above-mentioned three classes pixel unit group acquisition should be same or similar, still, practical application In, the size of the pixel unit spectral response collected in the three classes pixel unit group may have certain difference, this Sample, when synthesizing three kinds of spectral responses, if some spectral response is excessive, may cause other spectral responses cannot be by effective district Point, in order to promote the discrimination of living body and prosthese, in the embodiment of the present application, the office that every class pixel unit group can also be acquired Portion's facial image is calibrated.

Optionally, in the embodiment of the present application, the processor 52 is also used to:

Optionally, in some embodiments, the processor 52 is also used to:

According to the references object to the first band range, the second band range and the third wavelength band Spectrum response between relationship, determine the calibration parameter.

Using the references object as test object, the calibration parameter is determined, which can be pure color object, example Such as white paper, yellowish pink object etc., it is expected that the first kind pixel unit group, the second class pixel unit group and the third The references object of class pixel unit acquisition is to the first band range, the second band range and the third wave band The response of the spectrum of range is based on this purpose, to the first kind pixel unit group, the second class pixel list in same level The references object of tuple and the third class pixel unit actual acquisition is to the first band range, the second band The response of the spectrum of range and the third wavelength band is calibrated, and determines the calibration parameter.

Specifically, light source emits optical signal to the references object, wherein the wavelength band of the optical signal includes described First band range, the second band range and the third wavelength band pass through described in the optical sensor A kind of pixel unit group, the second class pixel unit group and the third class pixel unit acquire the references object to described The response of the spectrum of first band range, the second band range and the third wavelength band, then according to multiple light Relationship between the response of spectrum determines the calibration parameter.

It is assumed that the pixel value of first kind pixel unit P1 acquisition is 200, neighbouring with the first kind pixel unit P1 the The pixel value of two class pixel unit P2 acquisition is 100, the third class pixel unit P3 neighbouring with the first kind pixel unit P1 The pixel value of acquisition is 50, and above three pixel value respectively indicates the response of three kinds of spectrum, proportionate relationship 4:2:1, in order to make These three pixel units acquisition the references object to the response of three kinds of spectrum in same level, school can be carried out to it Standard, such as can be by the pixel value of the second class pixel unit P2 acquisition multiplied by 2, by the pixel value of third class pixel unit P3 acquisition Multiplied by 4, in this way, local in the colour that the subsequent pixel value synthesis based on three pixel unit acquisitions includes three kinds of spectral responses When facial image, every kind of spectral response can be preferably distinguished.

Optionally, in other embodiments, the calibration parameter is preset value, for example, can be according to three kinds of spectrum The empirical value of response determines, or can also be determined according to above-mentioned calibration steps, for example, determining calibration ginseng through the above steps After number, the calibration parameter can be prestored, the calibration of the facial image for subsequent acquisition, i.e., the calibration of subsequent facial image The calibration parameter is all used, the embodiment of the present application is not construed as limiting this.

It should be understood that in the embodiment of the present application, the response of three kinds of spectrum can refer to three kinds of spectral responses in same level Difference be less than specific threshold or three kinds of spectral responses pixel value it is suitable, in other words, be in same range.

Optionally, in the embodiment of the present application, the school of each pixel unit in the first pixel unit set can be determined Then quasi- parameter is calibrated according to pixel value of the calibration parameter of each pixel unit to subsequent acquisition, alternatively, can also incite somebody to action The calibration parameter of each pixel unit is averaged, and unified calibration parameter is obtained, according to the unified calibration parameter to all The pixel value of pixel unit acquisition is calibrated, and the embodiment of the present application is not construed as limiting specific calibrating mode.

Specifically, colored local facial image may include three Color Channels, such as RGB, a kind of spectral response pair Answer a Color Channel, that is to say, that each pixel in colored local facial image includes that three pixel values are (three i.e. described Respond pixel value), respectively correspond three kinds of spectral responses.And every class pixel in the aforementioned three classes pixel unit group of optical filter is set Unit group can only obtain a kind of spectral response, therefore, obtain the colored local facial image it needs to be determined that other two kinds of light Spectrum response, in some embodiments, the pixel value that can be acquired according to other neighbouring class pixel unit groups obtains other two kinds Spectral response.

For example, the pixel value that can be acquired according to first kind pixel unit in the first kind pixel unit group, determines institute State the corresponding first response pixel value of the first pixel in colored local facial image, wherein the first response pixel value table Show response of the face to the spectrum of the first band range；

Assuming that first kind pixel unit group includes 100 pixel units, the second class pixel unit group includes 100 pictures Plain unit, the third class pixel unit group include 100 pixel units, and the colour local facial image includes 100 pictures Element, each pixel include three pixel values, and the response of corresponding three kinds of spectrum then can be according to the one of first kind pixel unit group The pixel value of a first kind pixel unit P1 acquisition determines that a kind of spectrum of the corresponding pixel of P1 in the image of colour local facial is rung Answer, according to the second class pixel unit P2 neighbouring with P1 and third class pixel unit P3, determine the corresponding pixel of P1 other two Kind spectral response, may further be using these three spectral responses as the pixel value of three Color Channels of the pixel.According to class As method can determine each pixel in the colour local facial image three kinds of spectrum response, thus obtain this coloured silk Color local facial image.

In other embodiments, it can determine that the first kind pixel unit group, the second class pixel unit group are described The corresponding full spectra image of every class pixel unit group in third class pixel unit group, further according to every class pixel unit group Corresponding full spectra image determines the colored local facial image, wherein the full spectra image be include three kinds of light Compose the image of response.

For example, can be according to second class neighbouring with each first kind pixel unit in the first kind pixel unit group The pixel value of pixel unit acquisition determines that each first kind pixel unit rings the spectrum of the second band range It answers, obtains the first response image, be equivalent to the spectral response of the corresponding second band range of first kind pixel unit group；It can root According to the pixel of the third class pixel unit acquisition neighbouring with each first kind pixel unit in the first kind pixel unit group Value, determines that each first kind pixel unit for the spectral response of the third wavelength band, obtains the second response image, It is equivalent to the spectral response of the corresponding third wavelength band of first kind pixel unit group.

In another example can be according to neighbouring with the second class pixel unit of each of the second class pixel unit group first The pixel value of class pixel unit acquisition determines that each second class pixel unit rings the spectrum of the first band range It answers, obtains third response image, be equivalent to the spectral response of the corresponding first band range of the second class pixel unit group；It can root According to the pixel acquired with each of the second class pixel unit group neighbouring third class pixel unit of the second class pixel unit Value, determines that each second class pixel unit for the spectral response of the third wavelength band, obtains the 4th response image, It is equivalent to the spectral response of the corresponding third wavelength band of the second class pixel unit group.

For another example can be according to neighbouring with each third class pixel unit in the third class pixel unit group first The pixel value of class pixel unit acquisition determines that each third class pixel unit rings the spectrum of the first band range It answers, obtains the 5th response image, be equivalent to the spectral response of the corresponding first band range of third class pixel unit group；It can root According to the pixel of the second class pixel unit acquisition neighbouring with each third class pixel unit in the third class pixel unit group Value, determines that each third class pixel unit for the spectral response of the second band range, obtains the 6th response image, It is equivalent to the spectral response of the corresponding second band range of third class pixel unit group.

Further, the processor 52 is also used to:

By the first partial facial image, synthesized with first response image and second response image, Obtain the corresponding full spectral response image of the first kind pixel unit group；

By the described second local facial image, synthesized with the third response image and the 4th response image, Obtain the corresponding full spectral response image of the second class pixel unit group；

By third local facial image, synthesized with the 5th response image and the 6th response image, Obtain the corresponding full spectral response image of the third class pixel unit group.

It should be understood that first response image to the 6th response image is according to the first partial face figure after calibration What picture, the described second local facial image and third local facial image obtained.

So far, the corresponding full spectral response image of every class pixel unit group is obtained, it is every in the full spectral response image Three kinds of spectral responses of a pixel correspondence, i.e., each corresponding three pixel values of pixel, it is believed that be RBG value, may further incite somebody to action The corresponding full spectral response image of the first kind pixel unit group, the corresponding full spectral response of the second class pixel unit group Image, the corresponding full spectral response image of the third class pixel unit group are recombinated and (in other words, are spliced), and the coloured silk is obtained Color local facial image (or RGB figure).

Further, which can carry out vivo identification according to the colour local facial, to identify the true of face Vacation, for example, the processor 52 can extract the characteristic information of the colour local facial, for example, color character information, specifically may be used Coloration, saturation degree and purity (Hue, Saturation, Value, HSV) information are thought, then by the spy of the colour local facial Reference breath is input to deep learning network and classifies, and determines the true and false of face.

Optionally, in the embodiment of the present application, which can be convolutional neural networks or other depth Learning network.By taking convolutional neural networks as an example, illustrate specific training process.

Firstly, building convolutional neural networks structure, such as two layers of convolutional neural networks can be used, or can also use Three Tiered Network Architecture or more structure etc..

Secondly, the initial training parameter and the condition of convergence of the convolutional neural networks is arranged.

What the initial training parameter can be randomly generated, or obtain based on experience value, or be also possible to according to big The parameter of the good convolutional neural networks model of the true and false human face data pre-training of amount.

Non-limiting as example, which may include at least one of the following:

It 1, is that the probability from real human face is greater than the first probability, example by the colored local facial spectral discrimination of real human face Such as, 98%；

2, the colored local facial image of dummy's face is judged as that the probability from dummy's face is greater than the second probability, such as 95%；

It 3, is that the probability from dummy's face is less than third probability, example by the colored local facial spectral discrimination of real human face Such as, 2%；

4, by the colored local facial image of dummy's face be judged as the probability from real human face less than the 4th probability, such as 3%.

Then, the colored local facial image of a large amount of real human face and dummy's face is inputted to the convolutional neural networks, it should Convolutional neural networks can be handled above-mentioned colored local facial image based on initial training parameter, be determined to each colour The judgement of local facial image is as a result, further, according to the judgement as a result, the structure of adjustment convolutional neural networks and/or each The training parameter of layer, until determining that result meets the condition of convergence, so far, training is completed.Later, subsequent needs can be identified The colored local facial image of face is input to the convolutional neural networks, which can be used trained parameter To the colour local facial, image is handled, and determines whether the colour local facial image comes from real human face.

Optionally, in some embodiments, the processor 52 is also used to:

According to the people of other pixel units acquisition in addition to the first pixel unit set in the pixel array Face image carries out recognition of face.For example, the processor 52 can be in the facial image and registration that other described pixel units acquire The target to be identified the matched situation of face template under, vivo identification further is carried out to the target to be identified, is waited at this Identify that target is determining recognition of face success in the case where real human face, thereby executing the operation for triggering the recognition of face, for example, Carry out the operation such as terminal unlocking or payment.

Optionally, in other embodiments, which can also be the case where the target to be identified be real human face Under, further judge the face figure of other pixel units acquisition in addition to the first pixel unit set in pixel array Seem that the no face template with the target to be identified of registration matches, recognition of face success is determined in the event of a match, into one Step executes the operation for triggering the recognition of face, for example, carrying out the operation such as terminal unlocking or payment.

Know it should be understood that being readily applicable to other biological feature according to the device for recognition of face of the embodiment of the present application Other scene, such as fingerprint recognition scene, for example, the finger based on the acquisition of partial pixel unit is extremely when acquiring fingerprint image Few two kinds of spectral responses, are based further at least two spectral response, determine the true and false of finger.

In the embodiment of the present application, the device 50 for recognition of face may include the processor 52, such as at this Managing unit can be the micro-control unit (Micro ControlUnit, MCU) in the device of the people's face identification, alternatively, at other In embodiment, which can not include the processor 52, in this case, performed by the processor 52 Function can be by the processor in electronic equipment that the device 50 for recognition of face is installed, such as master control (Host) Module executes, and the embodiment of the present application is not construed as limiting this.

Above in association with Fig. 2 to Fig. 5, the Installation practice of the application is described in detail, below in conjunction with Fig. 6 to Fig. 7, retouches in detail State the present processes embodiment, it should be appreciated that embodiment of the method is corresponded to each other with Installation practice, and similar description is referred to Installation practice.

Fig. 6 is the schematic flow chart of the method for recognition of face of the embodiment of the present application, as shown in fig. 6, this method 60 include:

S61 receives light launched by light source by the pixel unit in the first pixel unit set of optical sensor and believes Number from face reflect reflected light signal, and according to the reflected light signal obtain local facial image；Wherein, first picture Plain unit set includes first kind pixel unit group and the second class pixel unit group, and the first kind pixel unit group includes at least One first kind pixel unit, the first kind pixel unit are arranged the first optical filter, and first optical filter is used for by the The optical signal of one wavelength band；The second class pixel unit group includes at least one second class pixel unit, second class The second optical filter is arranged in pixel unit, and second optical filter is used for the optical signal by second band range, and described second Wavelength band is different from the first band range；

S62, according to the local facial image for determining the true and false of the face.

It should be understood that this method 60 can be executed by the device for recognition of face, such as the device 50 in previous embodiment, Specifically, S61 can be executed by the optical sensor 51 in the device 50, and S62 can be by the processor 52 in the device 50, example As MCU is executed；Alternatively, the electronic equipment that this method 60 can also be installed by the device for recognition of face executes, for example, S62 can be executed by the processor in electronic equipment, such as Host module, and the embodiment of the present application is not construed as limiting this.

Optionally, in some embodiments of the application, the first pixel unit set further includes third class pixel unit Group, the third class pixel unit group include at least one third class pixel unit, and third is arranged in the third class pixel unit Optical filter, the third optical filter are used for the optical signal by third wavelength band, and the third wavelength band is different from described First band range and the second band range.

Optionally, in some embodiments of the application, the first band range, the second band range and described Three wavelength bands are respectively one of following three kinds of wavelength bands:

Optionally, in some embodiments of the application, the wavelength band of the optical signal of light source transmitting includes described the One wavelength band, the second band range and the third wavelength band.

Optionally, described to be used to determine the face according to the local facial image in some embodiments of the application It is true and false, comprising:

Optionally, in some embodiments of the application, the method 60 further include:

Optionally, in some embodiments of the application, it is described according to references object to the first band range, described Relationship between the response of the spectrum of two wavelength bands and the third wavelength band, determines the calibration parameter, comprising:

Optionally, in some embodiments of the application, the first partial facial image according to after calibration is described Second local facial image and third local facial image determine the true and false of the face, comprising:

Optionally, in some embodiments of the application, the first partial facial image according to after calibration is described Second local facial image and third local facial image are synthesized, and colored local facial image is obtained, comprising:

Optionally, in some embodiments of the application, the characteristic information according to the colored local facial image, really Determine the true and false of the face, comprising:

Optionally, in some embodiments of the application, it is described according in the pixel array remove first pixel unit The facial image of other pixel units acquisition other than set carries out recognition of face, comprising:

If the facial image and the facial image template matching registered and the face is real human face, determine that face is known Cheng Gong not.

Optionally, in some embodiments of the application, the number of continuous pixel unit in the first pixel unit set Amount is less than first threshold.

Optionally, in some embodiments of the application, the quantity of the pixel unit in the first pixel unit set with The ratio of the total quantity of pixel unit in the pixel array is less than the first ratio.

Optionally, the discrete distribution of pixel unit in some embodiments of the application, in the first pixel unit set In the pixel array.

Optionally, in some embodiments of the application, in the pixel array in addition to the first pixel unit set Other pixel units acquisition facial image be used for recognition of face.

Optionally, in some embodiments of the application, in the pixel array in addition to the first pixel unit set Other pixel units be not provided with optical filter.

Optionally, in some embodiments of the application, in the pixel array in addition to the first pixel unit set Other pixel units setting specific band range optical filter.

Optionally, in some embodiments of the application, the optical filter of the specific band range be include 940nm wave band model The optical filter enclosed.

Hereinafter, illustrating the overall flow of the method for recognition of face according to the embodiment of the present application, such as Fig. 7 in conjunction with Fig. 7 Shown, this method may include following content:

S71 acquires facial image by optical sensor；

Wherein, the facial image include the pixel unit local facial image collected in the first pixel unit set with And other pixel units facial image collected.

Further, the pixel unit local facial image collected in S72, in the first pixel unit set；

Then in S73, the local facial image is calibrated.

Specific implementation refers to the related description of previous embodiment, and which is not described herein again.

In s 74, it is synthesized according to the local facial image after calibration, obtains colored local facial image；

In S75, the color character information of the colored local facial image, such as HSV information are extracted；

In s 76, classified according to the color character information of the colored local facial image, determine the true of face It is false.Specifically, which can be input to deep learning network, to determine the true and false of face.

As shown in figure 8, the electronic equipment 80 may include using the embodiment of the present application also provides a kind of electronic equipment 80 In the device 81 of recognition of face, which can be in aforementioned device embodiment for recognition of face Device 50, it can be used to execute the content in embodiment of the method described in Fig. 6 to Fig. 7, for sake of simplicity, no longer superfluous here It states.

Optionally, in some embodiments, the electronic equipment 80 can be smart phone, tablet computer, door lock etc. pair The higher electronic equipment of security requirement.

It should be understood that the processor or processing unit of the embodiment of the present application can be a kind of IC chip, there is signal Processing capacity.During realization, each step of above method embodiment can be patrolled by the integrated of the hardware in processor The instruction for collecting circuit or software form is completed.Above-mentioned processor can be general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field Programmable Gate Array, FPGA) or other can Programmed logic device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute the application implementation Disclosed each method, step and logic diagram in example.General processor can be microprocessor or the processor can also be with It is any conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present application, can be embodied directly in hardware decoding Processor executes completion, or in decoding processor hardware and software module combination execute completion.Software module can position In random access memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register In the storage medium of equal this fields maturation.The storage medium is located at memory, and processor reads the information in memory, in conjunction with it Hardware completes the step of above method.

It is appreciated that the recognition of face of the embodiment of the present application can also include memory, memory can be volatibility and deposit Reservoir or nonvolatile memory, or may include both volatile and non-volatile memories.Wherein, nonvolatile memory can Be read-only memory (Read-Only Memory, ROM), programmable read only memory (Programmable ROM, PROM), Erasable Programmable Read Only Memory EPROM (Erasable PROM, EPROM), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or flash memory.Volatile memory can be random access memory (Random Access Memory, RAM), it is used as External Cache.By exemplary but be not restricted explanation, many forms RAM is available, such as static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), Synchronous Dynamic Random Access Memory (Synchronous DRAM, SDRAM), Double Data Rate synchronous dynamic Random access memory (Double Data Rate SDRAM, DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (Enhanced SDRAM, ESDRAM), synchronized links dynamic random access memory (Synchlink DRAM, SLDRAM) and straight Meet rambus random access memory (Direct Rambus RAM, DR RAM).It should be noted that system described herein and side The memory of method is intended to include but is not limited to the memory of these and any other suitable type.

The embodiment of the present application also proposed a kind of computer readable storage medium, the computer-readable recording medium storage one A or multiple programs, the one or more program include instruction, and the instruction is when by the portable electronic including multiple application programs When equipment executes, the portable electronic device can be made to execute the content of embodiment of the method.

The embodiment of the present application also proposed a kind of computer program, which includes instruction, when the computer journey When sequence is computer-executed, computer is allowed to execute the content of embodiment of the method.

The embodiment of the present application also provides a kind of chip, which includes input/output interface, at least one processor, extremely A few memory and bus, for storing instruction, at least one processor is for calling this extremely for at least one processor Instruction in a few memory, to execute the content of embodiment of the method.

Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed Scope of the present application.

It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.

In several embodiments provided herein, it should be understood that arriving, disclosed systems, devices and methods can To realize by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit Division, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or group Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown Or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit it is indirect Coupling or communication connection can be electrical property, mechanical or other forms.

The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.

It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.

It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product It is stored in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially in other words The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, institute Computer software product is stated to be stored in a storage medium, including some instructions are used so that computer equipment (can be with It is personal computer, server or the network equipment etc.) execute all or part of step of each embodiment the method for the application Suddenly.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), deposits at random The various media that can store program code such as access to memory (Random Access Memory, RAM), magnetic or disk.

The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any Those familiar with the art within the technical scope of the present application, can easily think of the change or the replacement, and should all contain Lid is within the scope of protection of this application.Therefore, the protection scope of the application shall be subject to the protection scope of the claim.

Claims

1. a kind of optical sensor for recognition of face characterized by comprising

Pixel array, the first pixel unit set in the pixel array includes first kind pixel unit group and the second class pixel Unit group, in which:

The second class pixel unit group includes at least one second class pixel unit, the second class pixel unit setting second Optical filter, second optical filter is used for the optical signal by second band range, and the second band range is different from institute State first band range；

The first kind pixel unit group and the second class pixel unit group are for receiving optical signal launched by light source from people The reflected light signal of face reflection, and local facial image is obtained according to the reflected light signal, the local facial image is used for Determine the true and false of the face.

2. optical sensor according to claim 1, which is characterized in that the first pixel unit set further includes third Class pixel unit group, the third class pixel unit group include at least one third class pixel unit, the third class pixel list Member setting third optical filter, the third optical filter are used for the optical signal by third wavelength band, the third wavelength band Different from the first band range and the second band range, the first kind pixel unit group, the second class pixel Pixel unit in unit group and the third class pixel unit group is for receiving the optical signal emitted by the light source from face The reflected light signal of reflection, and local facial image is obtained according to the reflected light signal, the local facial image is for true Determine the true and false of the face.

3. optical sensor according to claim 2, which is characterized in that the first band range, the second band Range and the third wavelength band are respectively one of following three kinds of wavelength bands:

4. optical sensor according to claim 2 or 3, which is characterized in that the wave band of the optical signal of the light source transmitting Range includes the first band range, the second band range and the third wavelength band.

5. optical sensor according to any one of claim 1 to 4, which is characterized in that the first pixel unit collection The quantity of continuous pixel unit is less than first threshold in conjunction.

6. optical sensor according to any one of claim 1 to 5, which is characterized in that the first pixel unit collection The ratio of the quantity of pixel unit in conjunction and the total quantity of the pixel unit in the pixel array is less than the first ratio.

7. optical sensor according to any one of claim 1 to 6, which is characterized in that the first pixel unit collection Pixel unit in conjunction is discrete to be distributed in the pixel array.

8. optical sensor according to any one of claim 1 to 7, which is characterized in that remove institute in the pixel array The facial image of other pixel units acquisition except the first pixel unit set is stated for recognition of face.

9. optical sensor according to claim 8, which is characterized in that remove the first pixel list in the pixel array Other pixel units except member set are not provided with optical filter.

10. optical sensor according to claim 8, which is characterized in that remove first pixel in the pixel array The optical filter of other pixel units setting specific band range except unit set.

11. optical sensor according to claim 10, which is characterized in that the optical filter of the specific band range is packet Include the optical filter of 940nm wavelength band.

12. a kind of device for recognition of face characterized by comprising

Optical sensor as described in any one of claims 1 to 11；

Wherein, the first kind pixel unit group and the second class pixel unit in the first pixel unit set of the optical sensor Pixel unit in group is used to receive the reflected light signal that optical signal launched by light source is reflected from face, and according to the reflection Optical signal obtains local facial image；

13. device according to claim 12, which is characterized in that the first pixel unit set includes first kind pixel Unit group, the second class pixel unit group and third class pixel unit group, in which:

The third class pixel unit group includes at least one third class pixel unit, and third is arranged in the third class pixel unit Optical filter, the third optical filter are used for the optical signal by third wavelength band, and the third wavelength band is different from described First band range and the second band range；

Wherein, the first kind pixel unit group, in the second class pixel unit group and the third class pixel unit group Pixel unit is used to receive the reflected light signal that the optical signal emitted by the light source is reflected from the face, and according to described anti- It penetrates optical signal and obtains local facial image, the local facial image is for determining the true and false of the face.

14. device according to claim 13, which is characterized in that the processor is also used to:

According to calibration parameter, to the first partial facial image of first kind pixel unit group acquisition, the second class pixel Second local facial image of unit group acquisition and the third local facial image of third class pixel unit group acquisition carry out Calibration；

According to the first partial facial image after calibration, the described second local facial image and third local facial figure As determining the true and false of the face.

15. device according to claim 14, which is characterized in that the processor is also used to:

According to references object to the first band range, the spectrum of the second band range and the third wavelength band Relationship between response determines the calibration parameter.

16. device according to claim 15, which is characterized in that the optical sensor is also used to:

When the light source emits optical signal to the references object, by the first kind pixel unit group, second class Pixel unit group and the third class pixel unit group acquire the references object to the first band range respectively, and described The response of the spectrum of two wavelength bands and the third wavelength band；

The processor is specifically used for: according to the references object to the first band range, the second band range and The response of the spectrum of the third wavelength band determines that the calibration parameter, the calibration parameter are used for so that the first kind The references object of pixel unit group, the second class pixel unit group and third class pixel unit group acquisition is to described The response of the spectrum of first band range, the second band range and the third wavelength band is in same range.

17. device described in any one of 4 to 16 according to claim 1, which is characterized in that the processor is also used to:

According to the first partial facial image after calibration, the described second local facial image and third local facial figure As being synthesized, colored local facial image is obtained, wherein each pixel in the image of the colour local facial includes described Face is to the first band range, three response pixels of the spectrum of the second band range and the third wavelength band Value；

The colored local facial image is subjected to feature extraction, obtains the characteristic information of the colored local facial image；

18. device according to claim 17, which is characterized in that the processor is also used to:

According to the pixel value that first kind pixel unit in the first kind pixel unit group acquires, the colored local facial is determined The corresponding first response pixel value of the first pixel in image, wherein the first response pixel value indicates the face to institute State the response of the spectrum of first band range；

According to the pixel value that the second class pixel unit neighbouring with the first kind pixel unit acquires, first pixel is determined Corresponding second response pixel value, wherein the second response pixel value indicates the face to the second band range Spectral response；And

According to the pixel value that the third class pixel unit neighbouring with the first kind pixel unit acquires, first pixel is determined Corresponding third responds pixel value, and the third response pixel value indicates that the face rings the spectrum of the third wavelength band It answers.

19. device described in 7 or 18 according to claim 1, which is characterized in that the processor is specifically used for:

It is handled by characteristic information of the deep learning network to the colored local facial image, determines the true of the face It is false.

20. device according to claim 19, which is characterized in that the processor is also used to:

From in the facial image of multiple real human faces that the optical sensor acquires and false face, first pixel is extracted Multiple local facial images of unit set acquisition；

The multiple colored local facial image is input to deep learning network to be trained, obtains the deep learning network Model and parameter.

21. device described in any one of 2 to 20 according to claim 1, which is characterized in that the processor is also used to:

According to the facial image of other pixel units acquisition in the pixel array in addition to the first pixel unit set Carry out recognition of face.

22. a kind of method for recognition of face characterized by comprising

Optical signal launched by light source is received from face by the pixel unit in the first pixel unit set of optical sensor The reflected light signal of reflection, and local facial image is obtained according to the reflected light signal, wherein the first pixel unit collection Close include first kind pixel unit group and the second class pixel unit group, the first kind pixel unit group include at least one first The first optical filter is arranged in class pixel unit, the first kind pixel unit, and first optical filter is used to pass through first band model The optical signal enclosed；The second class pixel unit group includes at least one second class pixel unit, the second class pixel unit Second optical filter is set, and second optical filter is used for the optical signal by second band range, and the second band range Different from the first band range；

23. according to the method for claim 22, which is characterized in that the first pixel unit set further includes third class picture Plain unit group, the third class pixel unit group include at least one third class pixel unit, and the third class pixel unit is set Third optical filter is set, the third optical filter is used for the optical signal by third wavelength band, and the third wavelength band is different In the first band range and the second band range.

24. according to the method for claim 23, which is characterized in that the first band range, the second band range It is respectively one of following three kinds of wavelength bands with the third wavelength band:

25. the method according to claim 23 or 24, which is characterized in that the wavelength band of the optical signal of the light source transmitting Including the first band range, the second band range and the third wavelength band.

26. the method according to any one of claim 23 to 25, which is characterized in that described according to the local facial figure As for determining the true and false of the face, comprising:

27. according to the method for claim 26, which is characterized in that the method also includes:

28. according to the method for claim 27, which is characterized in that it is described according to references object to the first band model It encloses, the relationship between the response of the spectrum of the second band range and the third wavelength band determines the calibration parameter, Include:

According to the references object to the first band range, the light of the second band range and the third wavelength band The response of spectrum determines that the calibration parameter, the calibration parameter are used for so that the first kind pixel unit group, second class Pixel unit group and the references object of third class pixel unit group acquisition are to the first band range, and described second The response of the spectrum of wavelength band and the third wavelength band is in same range.

29. the method according to any one of claim 26 to 28, which is characterized in that described according to after calibration One local facial image, the described second local facial image and third local facial image determine the true and false of the face, Include:

30. according to the method for claim 29, which is characterized in that the first partial face figure according to after calibration Picture, the described second local facial image and third local facial image are synthesized, obtain colored local facial image, wrap It includes:

Pixel value is used according to what first kind pixel unit in the first kind pixel unit group acquired, determines the colored part The corresponding first response pixel value of the first pixel in facial image, wherein the first response pixel value indicates the face Response to the spectrum of the first band range；

31. the method according to claim 29 or 30, which is characterized in that described according to the colored local facial image Characteristic information determines the true and false of the face, comprising:

32. according to the method for claim 31, which is characterized in that the method also includes:

33. the method according to any one of claim 22 to 32, which is characterized in that the method also includes:

34. the method according to any one of claim 22 to 33, which is characterized in that described according in the pixel array The facial image of other pixel units acquisition in addition to the first pixel unit set carries out recognition of face, comprising:

If the facial image and the facial image template matching registered and the face is real human face, determine recognition of face at Function.

35. the method according to any one of claim 22 to 34, which is characterized in that in the first pixel unit set The quantity of continuous pixel unit is less than first threshold.

36. the method according to any one of claim 22 to 35, which is characterized in that in the first pixel unit set Pixel unit quantity and the pixel unit in the pixel array total quantity ratio less than the first ratio.

37. the method according to any one of claim 22 to 36, which is characterized in that in the first pixel unit set Pixel unit discrete be distributed in the pixel array.

38. the method according to any one of claim 22 to 37, which is characterized in that except described the in the pixel array The facial image of other pixel units acquisition except one pixel unit set is used for recognition of face.

39. according to the method for claim 38, which is characterized in that remove the first pixel unit collection in the pixel array Other pixel units except conjunction are not provided with optical filter.

40. according to the method for claim 38, which is characterized in that remove the first pixel unit collection in the pixel array The optical filter of other pixel units setting specific band range except conjunction.

41. according to the method for claim 40, which is characterized in that the optical filter of the specific band range is to include The optical filter of 940nm wavelength band.

42. a kind of electronic equipment characterized by comprising

The device of recognition of face as described in any one of claim 12 to 21.