CN106934361A - A kind of discrimination method and electronic equipment - Google Patents
A kind of discrimination method and electronic equipment Download PDFInfo
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- CN106934361A CN106934361A CN201710128494.5A CN201710128494A CN106934361A CN 106934361 A CN106934361 A CN 106934361A CN 201710128494 A CN201710128494 A CN 201710128494A CN 106934361 A CN106934361 A CN 106934361A
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- 238000012850 discrimination method Methods 0.000 title claims abstract description 27
- 230000035479 physiological effects, processes and functions Effects 0.000 claims abstract description 106
- 210000004204 blood vessel Anatomy 0.000 claims abstract description 11
- 230000008878 coupling Effects 0.000 claims description 26
- 238000010168 coupling process Methods 0.000 claims description 26
- 238000005859 coupling reaction Methods 0.000 claims description 26
- 230000003287 optical effect Effects 0.000 claims description 24
- 238000010586 diagram Methods 0.000 description 10
- 210000000988 bone and bone Anatomy 0.000 description 4
- 230000000295 complement effect Effects 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 210000001145 finger joint Anatomy 0.000 description 2
- 229910044991 metal oxide Inorganic materials 0.000 description 2
- 150000004706 metal oxides Chemical class 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 244000131316 Panax pseudoginseng Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000000034 method Methods 0.000 description 1
Classifications
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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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
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- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Abstract
The present invention provides a kind of discrimination method and electronic equipment, and the electronic equipment is included：Fingerprint acquisition unit, physiology image acquisition unit and processing unit；The fingerprint acquisition unit, the fingermark image for capturing target；The physiology image acquisition unit is used to capture the physiology image of the target, and the physiology image is included：At least one of skeletal image of profile image, the blood vessel image of the target and the target of the target；The processing unit be used for using the fingermark image and the physiology image recognize the target owner whether be the electronic equipment legitimate user.
Description
Technical field
Set the present invention relates to user's identification, more particularly to a kind of discrimination method recognized to user and electronics
It is standby.
Background technology
At present, fingeprint distinguisher is fairly common for burglary-resisting system, and nearly all electronic product can all install this system
To protect the degree of safety of personal information and System Operation.But comparatively fingerprint identification system still has to a certain degree still
Can so crack, for example, fingerprint is printed being affixed on fingerprint inductor.So, the safety of user can be impacted.
The content of the invention
It is an object of the invention to provide a kind of discrimination method and electronic equipment, to increase the correctness of identification of fingerprint.
In order to achieve the above object, in a first aspect, the present invention provides a kind of electronic equipment, comprising：Fingerprint acquisition unit, life
Reason image acquisition unit and processing unit；The fingerprint acquisition unit, the fingermark image for capturing target；The physiology image is picked
Take unit and included for capturing the physiology image of the target, the physiology image：The profile image of the target, the blood vessel shadow of the target
At least one of skeletal image of picture and the target；The processing unit is used to be distinguished with the physiology image using the fingermark image
Know the target owner whether be the electronic equipment legitimate user.
Preferably, the fingermark image and the physiology image are carried out image overlap and obtain superimposed image by the processing unit,
Relative characteristic of the physiology image relative to the fingermark image is calculated according to the superimposed image, the relative characteristic includes relative position
At least one of with relative scale, the default relative characteristic of the relative characteristic and at least one default superimposed image is compared, with
Recognize the target owner whether be the electronic equipment legitimate user.
Preferably, the processing unit is additionally operable to compare the physiology image and at least one default physiology image, to determine to be somebody's turn to do
At least one default physiology image matched with the physiology image at least one default physiology image, compares the relative characteristic
The default relative characteristic of default superimposed image corresponding with the default physiology image of at least one that this matches, to recognize the target
Owner whether be the electronic equipment legitimate user.
Preferably, the processing unit is additionally operable to judge to whether there is and the fingermark image at least one preset fingerprint image
At least one preset fingerprint image for matching, and when at least one preset fingerprint image exist and the fingermark image phase
During at least one preset fingerprint image matched somebody with somebody, it is corresponding with least one preset fingerprint image for matching to compare the relative characteristic
The default relative characteristic of default superimposed image.
Preferably, the physiology image is the profile image；The processing unit is chosen at least one and is joined according to the profile image
Anchor point is examined, multiple local images, relatively more the plurality of office are chosen from the fingermark image according at least one reference location point
Whether multiple local images of portion's image and preset fingerprint image, be the legal of the electronic equipment with the owner for recognizing the target
User.
Preferably, the processing unit is vectorial origin with least one reference location point, determine many on the fingermark image
The fingerprint coordinate of individual ad-hoc location and fingerprint vector are choosing the plurality of local image.
Preferably, the physiology image acquisition unit is physics touch sensing element, when the target contacts physics touching sense
When answering element, the physics touch sensing element captures the profile image.
Preferably, the physiology image acquisition unit includes light-emitting component and optical coupling element, the light-emitting component is used to send out
Go out light and irradiate the target, the optical coupling element is used to, when the light exposes to the target, capture the physiology image.
Preferably, the light-emitting component is oppositely arranged with the optical coupling element, the light is through the target incident to the optocoupler
When closing element, the optical coupling element captures the physiology image；Or, the light-emitting component is arranged at same with the optical coupling element
Side, when the light is incident to the optical coupling element after being reflected via the target, the optical coupling element captures the physiology image.
Second aspect, the present invention provides a kind of discrimination method, and for electronic equipment, the discrimination method is included：Capture target
Fingermark image, and capture the physiology image of the target, the physiology image is included：The profile image of the target, the blood of the target
At least one of skeletal image of pipe image and the target；The target is recognized using the fingermark image and the physiology image
Owner whether be the electronic equipment legitimate user.
Preferably, whether recognize the owner of the target using the fingermark image and the physiology image is the electronic equipment
The step of legitimate user, includes：
The fingermark image and the physiology image are carried out into image overlap and superimposed image is obtained；
Relative characteristic of the physiology image relative to the fingermark image is calculated according to the superimposed image, the relative characteristic is included
At least one of relative position and relative scale；
The default relative characteristic of the relative characteristic and at least one default superimposed image is compared, to recognize possessing for the target
Person whether be the electronic equipment legitimate user.
Preferably, the physiology image is the profile image；The target is recognized using the fingermark image and the physiology image
The step of whether owner is the legitimate user of the electronic equipment includes：
In choosing 1 reference location point on the profile image；
According at least one reference location point in the multiple local images of selection on the fingermark image；
Compare the default local image of the multiple of the plurality of local image and at least one preset fingerprint image, to recognize the mesh
Target owner whether be the electronic equipment legitimate user.
Preferably, according at least one reference location point the step of the plurality of local image is chosen on the fingermark image
Including：
It is vectorial origin with least one reference location point, determines that the fingerprint of multiple ad-hoc locations on the fingermark image is sat
Mark with fingerprint vector to choose the plurality of local image.
Compared with prior art, the present invention is provided discrimination method and electronic equipment, using fingermark image and physiology shadow
As being recognized, with judge target owner whether be electronic equipment legitimate user, because fingerprint can be duplication,
But everyone physiology image and fingermark image are hardly possible duplications, so, can improve the accuracy of identification, are increased
The security of strong electronic equipment.
Brief description of the drawings
Fig. 1 is the block diagram of a kind of electronic equipment provided in an embodiment of the present invention；
Fig. 2 is a kind of setting schematic diagram of physiology image acquisition unit provided in an embodiment of the present invention；
Fig. 3 is the setting schematic diagram of another physiology image acquisition unit provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic diagram for choosing multiple local images provided in an embodiment of the present invention；
Fig. 5, Fig. 6, Fig. 7 are respectively the schematic diagram that the embodiment of the present invention provides reference location point；
The schematic flow sheet of the discrimination method that Fig. 8 is provided for one embodiment of the invention；
The schematic flow sheet of the discrimination method that Fig. 9 is provided for another embodiment of the present invention；
The schematic flow sheet of the discrimination method that Figure 10 is provided for yet another embodiment of the invention.
Specific embodiment
To make have further understanding to the purpose of the present invention, construction, feature and its function, hereby coordinate embodiment detailed
It is described as follows.
Fig. 1 is the block diagram of a kind of electronic equipment provided in an embodiment of the present invention.As shown in figure 1, electronic equipment 100 can be with
Comprising fingerprint acquisition unit 11, physiology image acquisition unit 12 and processing unit 13.Fingerprint acquisition unit 11 is used to capture mesh
Target fingermark image.Physiology image acquisition unit 12 is used to capture the physiology image of target, and physiology image is included：The profile of target
At least one of skeletal image of image, the blood vessel image of target and target.Processing unit 13 is used to utilize the fingerprint shadow
As with the physiology image recognize the target owner whether be the electronic equipment legitimate user.So, using fingerprint shadow
As being recognized with physiology image, with judge target owner whether be electronic equipment legitimate user, because fingerprint is
Can replicate, but everyone physiology image and fingermark image are hardly possible duplications, so, can improve identification
Accuracy, strengthen electronic equipment security.
In actual applications, electronic equipment 100 can be mobile phone, palm PC etc., in the identification target of electronic equipment 100
After owner is for the legitimate user of electronic equipment 100, electronic equipment 100 can perform the operation such as unblock.In practical application
In, electronic equipment 100 can also be the electronic lock being arranged on door, be electronics in the owner of the identification target of electronic equipment 100
After the legitimate user of equipment 100, electronic equipment 100 can perform the operation of auto-unlocking.Above-mentioned target can be finger
Or hand (i.e. finger and palm).
Preferably, physiology image acquisition unit 12 can include light-emitting component 121 and optical coupling element 122, light unit
Part 121 is used for the irradiation target that emits beam, and optical coupling element 122 is used for when light exposes to target, and optical coupling element 122 is picked
Take physiology image.Fig. 2 is a kind of setting schematic diagram of physiology image acquisition unit 12 provided in an embodiment of the present invention.Further,
As shown in Fig. 2 light-emitting component 121 is oppositely arranged with optical coupling element 122, light is through target incident to optical coupling element 122
When, optical coupling element 122 captures physiology image.Fig. 3 is another physiology image acquisition unit 12 provided in an embodiment of the present invention
Setting schematic diagram.Further, as shown in figure 3, light-emitting component 121 and optical coupling element 122 are arranged at the same side, light via
When being incident to optical coupling element 122 after target reflection, optical coupling element 122 captures physiology image.Wherein, with mesh in Fig. 2, Fig. 3
It is designated as being illustrated as a example by finger, but the invention is not restricted to this.It should be noted that above-mentioned optical coupling element 122 can be electricity
Lotus coupling element (Charge-coupled Device, CCD) or complementary metal oxide semiconductors (CMOS) (Complementary
Metal Oxide Semiconductor, CMOS) etc..
In one embodiment of the invention, processing unit 13 is used to for fingermark image and physiology image to carry out image weight
Fold and obtain superimposed image, relative characteristic of the physiology image relative to fingermark image, relative characteristic bag are calculated according to superimposed image
Containing at least one of relative position and relative scale, relative characteristic is compared default relative with least one default superimposed image
Feature, with recognize target owner whether be electronic equipment 100 legitimate user.So, using fingermark image and physiology
Whether the relative characteristic that image carries out the superimposed image after image overlap is recognized, be that electronics sets with the owner for judging target
Standby legitimate user, because fingerprint can be duplication, but everyone target shape, blood vessel and/or bone and its fingerprint
Image after overlap is hardly possible duplication, so, the relative characteristic (example of target shape, blood vessel and/or bone and fingerprint
Such as, relative scale, relative position) it is unique, and then the accuracy of identification is improved, enhance the safety of electronic equipment
Property.
In this embodiment, preferably, processing unit 13 can be also used for comparing physiology image and at least one default life
Reason image, with least one default physiology image for determining to match with the physiology image at least one default physiology image,
The default relative characteristic of relative characteristic default superimposed image corresponding with the default physiology image of at least one for matching is compared, with
Recognize target owner whether be electronic equipment 100 legitimate user.So, due to comparing the relatively special of superimposed image
Before levying, at least one default physiology image matched with physiology image is found out, and due to physiology image relative superposition image
Details is few, can accelerate the speed of identification.
In this embodiment, preferably, processing unit 13 can be also used for judging be at least one preset fingerprint image
No have at least one preset fingerprint image that matches with fingermark image, and when exist at least one preset fingerprint image with
During at least one preset fingerprint image that fingermark image matches, relative characteristic and at least one preset fingerprint for matching are compared
The default relative characteristic of the corresponding default superimposed image of image.So, due to before the relative characteristic of superimposed image is compared, entering
Go the comparison of fingermark image, further enhancing the accuracy of identification.
In another embodiment of the invention, physiology image is profile image, and processing unit 13 is used for according to profile
Image, chooses 1 reference location point, and multiple part shadows are chosen from fingermark image according to 1 reference location point
Whether multiple local images of picture, relatively more multiple local images and preset fingerprint image, be electronics with the owner for recognizing target
The legitimate user of equipment 100.So, after obtaining profile image, according to fixed at least one reference chosen on profile image
Multiple local images, relatively more multiple local images and the local shadow of the multiple of preset fingerprint image are chosen from fingermark image in site
Picture come recognize target owner whether be electronic equipment legitimate user, be local image because what is utilized, the data for comparing
Amount is smaller, identification result can be relatively quickly drawn, without there is another Zhang Zhiwen rough images again, it is not necessary to store more fingerprint
Image, without two processing units, and without accurately measuring or captures fingers/hand profile.
In this embodiment, preferably, physiology image acquisition unit 12 can be physics touch sensing element (such as touch-control
Panel), when target contacts physics touch sensing element, the reason touch sensing element captures profile image.
In this embodiment, when multiple local images are chosen, processing unit 13 can be with least one for processing unit 13
Reference location point is vectorial origin, determines the fingerprint coordinate and fingerprint vector of multiple ad-hoc locations on fingermark image.Specifically, place
Reason unit 13 can be true using size constancy eigentransformation (Scale Invariant Feature Transform, SIFT) feature
The fingerprint vector of fixed multiple ad-hoc location.So, the fingerprint coordinate and fingerprint of multiple ad-hoc locations are determined using reference location point
Vector, it is not necessary to store more fingermark image, and compared to the partial image on fingermark image rather than whole image,
Accuracy rate is high and relatively fewer because comparing data volume, can relatively quickly draw identification result.In addition, being only in reference location point
During finger tip, without accurately measuring or acquisition finger shape, the speed of identification can be accelerated.
Fig. 4 is a kind of schematic diagram for choosing multiple local images provided in an embodiment of the present invention.Fig. 5, Fig. 6, Fig. 7 are respectively
The embodiment of the present invention provides the schematic diagram of reference location point.1 reference location point can be on finger tip, target shape
Point or finger joint on point, for example, as shown in figure 4, reference location point be three, three reference location points are respectively finger tip 21, hand
Refer to profile on point 22,23, as shown in Fig. 5, Fig. 6, Fig. 7,1 reference location point can be finger joint 31,32,41,42,
Point on 51 or 52.
Illustrate how processing unit 13 chooses multiple local images by taking Fig. 4 as an example, as shown in figure 4, processing unit 13 is with ginseng
It is vectorial origin to examine anchor point 21, determines that the arrow of lines 211,212 points to the fingerprint coordinate and fingerprint vector of position, and treatment is single
Unit 13 is vectorial origin with reference location point 22, determines that the arrow of lines 221,222,223 points to the fingerprint coordinate of position and refers to
Line vector, and processing unit 13 is vectorial origin with reference location point 23, determines that the arrow of lines 231,232,233 points to position
Fingerprint coordinate and fingerprint vector.
The schematic flow sheet of the discrimination method that Fig. 8 is provided for one embodiment of the invention.Discrimination method shown in Fig. 8 is used for
Electronic equipment 100 is stated, as shown in figure 8, the discrimination method can be included：The fingermark image of step S101, acquisition target, and capture
The physiology image of target, physiology image is included：In the profile image of target, the blood vessel image of target and the skeletal image of target
At least one.Step S102, using fingermark image and physiology image identification target owner whether be electronic equipment conjunction
Method user.So, recognized with physiology image using fingermark image, whether be electronic equipment with the owner for judging target
Legitimate user, because fingerprint can be duplication, but everyone physiology image is hardly possible multiple with fingermark image
System, so, the accuracy of identification can be improved, strengthen the security of electronic equipment.
The schematic flow sheet of the discrimination method that Fig. 9 is provided for another embodiment of the present invention.Discrimination method shown in Fig. 9 is used for
Above-mentioned electronic equipment 100, as shown in figure 9, the discrimination method can be included：The fingermark image of step S201, acquisition target, and pick
The physiology image of target is taken, physiology image is included：The skeletal image of the profile image, the blood vessel image of target and target of target
At least one of.Step S202, fingermark image and physiology image are carried out into image overlap and superimposed image is obtained.Step
S203, according to superimposed image calculate physiology image relative to fingermark image relative characteristic, relative characteristic comprising relative position with
At least one of relative scale.Step S204, comparison relative characteristic are default relative special with least one default superimposed image
Levy, with recognize target owner whether be electronic equipment 100 legitimate user.So, using fingermark image and physiology shadow
Whether it is electronic equipment with the owner for judging target as the relative characteristic for carrying out the superimposed image after image overlap is recognized
Legitimate user, because fingerprint can be duplication, but everyone target shape, blood vessel and/or bone and its fingerprint weight
The image of poststack is hardly possible duplication, so, the relative characteristic (example of target shape, blood vessel and/or bone and fingerprint
Such as, relative scale, relative position) it is unique, and then the accuracy of identification is improved, enhance the safety of electronic equipment
Property.
In this embodiment, preferably, default relative special with least one default superimposed image relative characteristic is compared
Before levying, the discrimination method can also be included：Physiology image and at least one default physiology image are compared, to determine at least one
At least one default physiology image that default physiology image matches with physiology image；Then, relative characteristic and at least one are compared
The step of default relative characteristic of default superimposed image, includes：Relative characteristic is compared with the default physiology shadow of at least one for matching
As the default relative characteristic of corresponding default superimposed image.So, due to before the relative characteristic of superimposed image is compared, finding out
At least one default physiology image matched with physiology image, and because physiology image relative superposition image detail is few, can add
The speed of speed identification.
In this embodiment, preferably, default relative special with least one default superimposed image relative characteristic is compared
Before levying, the discrimination method can also be included：Judge to whether there is and fingermark image phase at least one preset fingerprint image
At least one preset fingerprint image matched somebody with somebody.If so, it is corresponding with least one preset fingerprint image for matching to compare relative characteristic
Default superimposed image default relative characteristic.So, due to before the relative characteristic of superimposed image is compared, having carried out fingerprint
The comparison of image, further enhancing the accuracy of identification.
The schematic flow sheet of the discrimination method that Figure 10 is provided for yet another embodiment of the invention.Discrimination method shown in Figure 10 is used
In above-mentioned electronic equipment 100, as shown in Figure 10, the discrimination method can be included：Step S401, the fingermark image for capturing target,
And capture the profile image of target.Step S402, in choosing 1 reference location point on profile image.Step S403, root
According to 1 reference location point in the multiple local images of selection on fingermark image.Step S404, the multiple local images of comparing with
Whether the default local image of the multiple of at least one preset fingerprint image, be the legal of electronic equipment with the owner for recognizing target
User.So, after obtaining profile image, according in the 1 reference location point chosen on profile image from fingermark image
Middle to choose multiple local images, relatively more multiple local images recognize target with multiple local images of preset fingerprint image
Owner whether be electronic equipment legitimate user, be local image because what is utilized, the data volume for comparing is smaller, can be relatively fast
Identification result is drawn fastly, without there are another Zhang Zhiwen rough images again, it is not necessary to store more fingermark image, at two
Reason unit, and without accurately measuring or capture fingers/hand profile.
Step S403 can be included：It is vectorial origin with 1 reference location point, determines multiple special on fingermark image
The fingerprint coordinate that positioning is put is with fingerprint vector to choose multiple local images.So, determined using reference location point multiple specific
The fingerprint coordinate and fingerprint vector of position, it is not necessary to store more fingermark image, and be to the partial image on fingermark image
Rather than whole image is compared, accuracy rate is high and relatively fewer because comparing data volume, can relatively quickly draw identification result.
In addition, when reference location point is only finger tip, without accurately measuring or acquisition finger shape, the speed of identification can be accelerated.
The present invention is been described by by above-mentioned related embodiment, but above-described embodiment is only to implement example of the invention.
It must be noted that, the embodiment for having disclosed is not limiting as the scope of the present invention.On the contrary, do not depart from it is of the invention spirit and
In the range of the change made and retouching, belong to scope of patent protection of the invention.
Claims (13)
1. a kind of electronic equipment, it is characterised in that include：
Fingerprint acquisition unit, the fingermark image for capturing target；
Physiology image acquisition unit, the physiology image for capturing the target, physiology image is included：The profile shadow of the target
At least one of skeletal image of picture, the blood vessel image of the target and the target；
Processing unit, whether the owner for recognizing the target using the fingermark image and the physiology image is the electronic equipment
Legitimate user.
2. electronic equipment as claimed in claim 1, it is characterised in that the processing unit is by the fingermark image and the physiology image
Carry out image overlap and obtain superimposed image, it is relative relative to the fingermark image to calculate the physiology image according to the superimposed image
Feature, the relative characteristic includes at least one of relative position and relative scale, compares the relative characteristic pre- with least one
If the default relative characteristic of superimposed image, with recognize the target owner whether be the electronic equipment legitimate user.
3. electronic equipment as claimed in claim 2, it is characterised in that the processing unit be additionally operable to compare the physiology image with extremely
A few default physiology image, with determine to match with the physiology image at least one default physiology image at least one
Default physiology image, compares the relative characteristic default superimposed image corresponding with the default physiology image of at least one that this matches
Default relative characteristic, with recognize the target owner whether be the electronic equipment legitimate user.
4. electronic equipment as claimed in claim 2, it is characterised in that the processing unit is additionally operable to judge that at least one default refers to
With the presence or absence of at least one preset fingerprint image matched with the fingermark image in schlieren picture, and when at least one default finger
When there is at least one preset fingerprint image matched with the fingermark image in schlieren picture, compare the relative characteristic and match
The corresponding default superimposed image of at least one preset fingerprint image default relative characteristic.
5. electronic equipment as claimed in claim 1, it is characterised in that the physiology image is the profile image；The processing unit
According to the profile image, 1 reference location point is chosen, according at least one reference location point from the fingermark image
Multiple local images of multiple local images, relatively more the plurality of local image and preset fingerprint image are chosen, to recognize the target
Owner whether be the electronic equipment legitimate user.
6. electronic equipment as claimed in claim 5, it is characterised in that the processing unit is with least one reference location point
Vectorial origin, determines the fingerprint coordinate and fingerprint vector of multiple ad-hoc locations on the fingermark image to choose the plurality of local shadow
Picture.
7. electronic equipment as claimed in claim 5, it is characterised in that the physiology image acquisition unit is physics touch sensing unit
Part, when the target contacts the physics touch sensing element, the physics touch sensing element captures the profile image.
8. electronic equipment as claimed in claim 1, it is characterised in that the physiology image acquisition unit include light-emitting component and
Optical coupling element, the light-emitting component is used to emit beam and irradiates the target, and the optical coupling element is used to expose to this when the light
During target, the physiology image is captured.
9. electronic equipment as claimed in claim 8, it is characterised in that the light-emitting component is oppositely arranged with the optical coupling element,
When the light passes through the target incident to the optical coupling element, the optical coupling element captures the physiology image；Or, the luminous unit
Part is arranged at the same side with the optical coupling element, when the light is incident to the optical coupling element after being reflected via the target, the light
Coupling element captures the physiology image.
10. a kind of discrimination method, for electronic equipment, it is characterised in that the discrimination method is included：
The fingermark image of target is captured, and captures the physiology image of the target, the physiology image is included：The profile shadow of the target
At least one of skeletal image of picture, the blood vessel image of the target and the target；
Using the fingermark image and the physiology image recognize the target owner whether be the electronic equipment legitimate user.
11. discrimination methods as claimed in claim 10, it is characterised in that should with physiology image identification using the fingermark image
The step of whether owner of target is the legitimate user of the electronic equipment includes：
The fingermark image and the physiology image are carried out into image overlap and superimposed image is obtained；
Relative characteristic of the physiology image relative to the fingermark image is calculated according to the superimposed image, the relative characteristic is comprising relative
At least one of position and relative scale；
The default relative characteristic of the relative characteristic and at least one default superimposed image is compared, is with the owner for recognizing the target
No is the legitimate user of the electronic equipment.
12. discrimination methods as claimed in claim 10, it is characterised in that the physiology image is the profile image；Referred to using this
The step of whether owner that schlieren picture and the physiology image recognize the target is the legitimate user of the electronic equipment includes：
In choosing 1 reference location point on the profile image；
According at least one reference location point in the multiple local images of selection on the fingermark image；
Compare the default local image of the multiple of the plurality of local image and at least one preset fingerprint image, to recognize the target
Owner whether be the electronic equipment legitimate user.
13. discrimination methods as claimed in claim 12, it is characterised in that according at least one reference location point in the fingerprint
The step of the plurality of local image is chosen on image includes：
Be vectorial origin with least one reference location point, determine on the fingermark image fingerprint coordinate of multiple ad-hoc locations with
Fingerprint vector is choosing the plurality of local image.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710128494.5A CN106934361B (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
| CN202011173214.0A CN112270260A (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710128494.5A CN106934361B (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011173214.0A Division CN112270260A (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
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| Publication Number | Publication Date |
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| CN106934361A true CN106934361A (en) | 2017-07-07 |
| CN106934361B CN106934361B (en) | 2021-01-05 |
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| CN201710128494.5A Expired - Fee Related CN106934361B (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
| CN202011173214.0A Pending CN112270260A (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
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| CN202011173214.0A Pending CN112270260A (en) | 2017-03-06 | 2017-03-06 | Identification method and electronic equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108334200A (en) * | 2018-02-11 | 2018-07-27 | 广东欧珀移动通信有限公司 | Control method of electronic device and Related product |
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| CN109247911A (en) * | 2018-07-25 | 2019-01-22 | 浙江工业大学 | A kind of multi-modal characteristic synchronization acquisition system of finger |
| CN109247911B (en) * | 2018-07-25 | 2021-04-06 | 浙江工业大学 | Synchronous acquisition system for multi-mode finger features |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106934361B (en) | 2021-01-05 |
| CN112270260A (en) | 2021-01-26 |
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