CN105243369B - A kind of recognition methodss of fingerprint, device and mobile terminal - Google Patents
A kind of recognition methodss of fingerprint, device and mobile terminal Download PDFInfo
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- CN105243369B CN105243369B CN201510681116.0A CN201510681116A CN105243369B CN 105243369 B CN105243369 B CN 105243369B CN 201510681116 A CN201510681116 A CN 201510681116A CN 105243369 B CN105243369 B CN 105243369B
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 208000031481 Pathologic Constriction Diseases 0.000 description 6
- 210000001215 vagina Anatomy 0.000 description 6
- 239000002699 waste material Substances 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000000994 depressogenic effect Effects 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000002054 transplantation Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
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Abstract
The embodiment of the invention discloses a kind of recognition methodss of fingerprint, device and mobile terminal, wherein, the method includes：Obtain image using fingerprint sensor；The image of acquisition is divided at least two predeterminable areas；Calculate the quantity of the pixel in each predeterminable area；Whether the image judging described acquisition according to the quantity of the pixel in each predeterminable area is effective image, if it is, the image of described acquisition and template image are contrasted.The recognition methodss of fingerprint disclosed in the embodiment of the present invention, device and mobile terminal, can bring advantage to the user and economize on resources.
Description
Technical field
The present embodiments relate to fingerprint intelligent technology of identification field, more particularly, to a kind of recognition methodss of fingerprint, device
And mobile terminal.
Background technology
Because fingerprint has unchangeable property, uniqueness and convenience, it has been widely used in identification, especially
Ground, is employed to use as password (startup password of such as mobile terminal and the payment cipher of Taobao) in the terminal,
To ensure the privacy even property safety of user.When being used fingerprint as password, user needs for finger to be placed on movement
On the fingerprint sensor of terminal configuration, fingerprint sensor detects the fingerprint of user, obtains fingerprint image, then by fingerprint image and mould
Plate image is mated, if the match is successful, identifies successfully, that is,：Password is correct；If mating unsuccessful, recognition failures,
I.e.：Code error.
Because fingerprint sensor is sensitiveer, when finger is not also stably fitted on fingerprint sensor, or fingerprint passes
Other parts of skin that sensor is close to the users are when even mobile terminal is placed in pocket, fingerprint sensor can to finger or
Other parts of skin of user or even pocket are detected, obtain image, due in said method, as long as fingerprint sensor obtains
Image just triggers the action of coupling, therefore, in said method no matter fingerprint sensor obtain be whether fingerprint complete image
Or this image and template image all can be contrasted by the image of fingerprint, when fingerprint sensor identification is the imperfect of fingerprint
During image, user needs to take away finger from fingerprint sensor and puts down to re-recognize fingerprint image again, and this brings to user
Inconvenience；When fingerprint sensor identification be not fingerprint image when, the resource of mobile terminal can be wasted.
Content of the invention
The embodiment of the present invention proposes a kind of recognition methodss of fingerprint, device and mobile terminal, to solve existing fingerprint
Identifying schemes are made troubles to user and are wasted the problem of mobile terminal resource.
In a first aspect, embodiments providing a kind of recognition methodss of fingerprint, including：
Obtain image using fingerprint sensor；
The image of acquisition is divided at least two predeterminable areas；
Calculate the quantity of the pixel in each predeterminable area；
Whether the image judging described acquisition according to the quantity of the pixel in each predeterminable area is effective image, if
It is then the image of described acquisition and template image to be contrasted.
Second aspect, the embodiment of the present invention additionally provides a kind of identifying device of fingerprint, including：
Image collection module, for obtaining image using fingerprint sensor；
Predeterminable area splits module, for the image of acquisition is divided at least two predeterminable areas；
Pixel quantity computing module, for calculating the quantity of the pixel in each predeterminable area；
Judge module, whether the image for judging described acquisition according to the quantity of the pixel in each predeterminable area be
Effective image, if it is, the image of described acquisition and template image are contrasted.
The third aspect, the embodiment of the present invention additionally provides a kind of mobile terminal, the device providing including second aspect.
The recognition methodss of fingerprint provided in an embodiment of the present invention, device and mobile terminal, will be obtained using fingerprint sensor
After the image taking is divided at least two predeterminable areas, calculate the quantity of the pixel in each predeterminable area, and pre- according to each
If the quantity of the pixel in region judge obtain image whether be effective image, if it is, by obtain image and mould
Plate image is contrasted.Via such scheme, after fingerprint sensor obtains image, not directly by the image obtaining and template
Image is contrasted, but first judges whether the image obtaining is effective image, only when the image obtaining is effective image,
Just the image of acquisition and template image can be contrasted, thus avoid fingerprint sensor acquisition is not the complete graph of fingerprint
As the fingerprint recognition failure leading to, thus the problem made troubles to user；It also avoid not referring to of fingerprint sensor acquisition
The problem that the mobile terminal resource that the image of stricture of vagina leads to wastes, and then can bring advantage to the user and economize on resources.
Brief description
Fig. 1 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention one provides.
Fig. 2 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention two provides.
Fig. 3 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention three provides.
Fig. 4 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention four provides.
Fig. 5 is the structural representation of the identifying device of fingerprint that the embodiment of the present invention five provides.
Specific embodiment
Further illustrate technical scheme below in conjunction with the accompanying drawings and by specific embodiment.May be appreciated
It is that specific embodiment described herein is used only for explaining the present invention, rather than limitation of the invention.Further need exist for explanation
, for the ease of description, in accompanying drawing, illustrate only part related to the present invention rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The process described as flow chart or method.Although every step is described as the process of order by flow chart, therein permitted
Multi-step can be implemented concurrently, concomitantly or simultaneously.Additionally, the order of every step can be rearranged.When it
When step completes, described process can be terminated, it is also possible to have the additional step being not included in accompanying drawing.Described process
Can correspond to method, function, code, subroutine, subprogram etc..
Embodiment one
Fig. 1 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention one provides, and the method can be by fingerprint
Identifying device execution, wherein this device can be realized by software and/or hardware, typically can integrated in the terminal.As Fig. 1 institute
Show, the method includes：
Step 101, using fingerprint sensor obtain image.
Because integrated fingerprint sensor in the terminal is sensitiveer, when the subregion of finger is placed on by user
When being placed in pocket on fingerprint sensor or by mobile terminal, fingerprint sensor also can be to the clothing of Toe Transplantation for Segmental Finger or pocket
Clothes are detected, realize obtaining image, therefore, the image of above-mentioned acquisition is not only all images of fingerprint it is also possible to refer to
The parts of images of stricture of vagina, the even image of clothes texture.
The action obtaining image may refer to the depressed rear triggering of stricture of vagina sensor, and this kind of triggering mode can reduce and refer to
Stricture of vagina sensor obtains image (i.e. by mistake：Do not need obtain image when obtain image) probability such that it is able to reduce move
The waste of terminal resource.
Step 102, the image of acquisition is divided at least two predeterminable areas.
No matter the image of above-mentioned acquisition is any image, all the whole region of the image of above-mentioned acquisition is divided at least two
Predeterminable area.Wherein, the quantity of predeterminable area can be configured according to actual needs；The area of each predeterminable area can phase
With it is also possible to differ.
Step 103, the quantity of the pixel calculating in each predeterminable area.
It is calculated the quantity of the pixel of the image of acquisition in above-mentioned each got predeterminable area.
Step 104, according to the quantity of the pixel in each predeterminable area judge obtain image whether be effective image,
If it is, the image of acquisition and template image are contrasted.
Judge that the image that fingerprint sensor obtains is according to the quantity of the pixel in each predeterminable area obtained above
No for effective image, only when the image obtaining is effective image, just the image of acquisition and template image can be contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not entered
Row contrast, but the image of acquisition is divided into after at least two predeterminable areas, calculate the number of the pixel in each predeterminable area
Amount, and judge whether the image obtaining is effective image, only works as acquisition according to the quantity of the pixel in each predeterminable area
Image when being effective image, just the image of acquisition and template image can be contrasted, thus avoid fingerprint sensor obtaining
Take is not the fingerprint recognition failure that leads to of complete image of fingerprint, thus the problem made troubles to user；It also avoid referring to
What stricture of vagina sensor obtained is not the problem that wastes of the mobile terminal resource that leads to of image of fingerprint, and then can bring just to user
Profit and economize on resources.
Embodiment two
Fig. 2 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention two provides, and the present embodiment two is with above-mentioned
Be optimized based on embodiment one, in the present embodiment two, by step 104 according to the pixel in each predeterminable area
Quantity judge obtain image whether be that effective image is optimized for：Whether the quantity according to the pixel in each predeterminable area
Whether first preset value corresponding more than or equal to predeterminable area is effective image come the image to judge to obtain.As shown in Fig. 2 should
Method includes：
Step 201, using fingerprint sensor obtain image.
Step 202, the image of acquisition is divided at least two predeterminable areas.
Step 203, the quantity of the pixel calculating in each predeterminable area.
Step 204, the pixel judging in each predeterminable area quantity whether corresponding more than or equal to predeterminable area
First preset value, if it is, the image obtaining is effective image, and the image of acquisition and template image is contrasted.
Pre- by corresponding with this predeterminable area for the quantity of the pixel in above-mentioned each predeterminable area calculated first
If value is compared, if the quantity of the pixel in each predeterminable area is all higher than or to be equal to predeterminable area corresponding first pre-
If value, then the image obtaining is effective image, is now contrasted the effective image of acquisition and template image.
Corresponding first preset value of each predeterminable area can identical it is also possible to differ.Each region due to finger
Fingerprint all differ, therefore, corresponding first preset value of each predeterminable area preferably differs, each predeterminable area correspond to
The custom of position that according to user, finger can be placed on fingerprint sensor of the first preset value (put by the finger of user
Put and can obtain position on fingerprint sensor for the fingerprint image such that it is able to just obtain finger in the position on fingerprint sensor
The number of the pixel in each region when being really placed on fingerprint sensor, and then fingerprint can be correctly placed according to finger
The number of the pixel in each region when on sensor obtains corresponding first preset value of each predeterminable area) it is configured.
When finger being placed on fingerprint sensor due to user, the part of finger edge can not with fingerprint sensor very
Contact well, therefore, the fingerprint image at the edge of image that fingerprint sensor obtains is less, therefore, each predeterminable area corresponds to
The relation of the first preset value be preferably：Corresponding first preset value of one week each predeterminable area in image border obtaining is all little
In corresponding first preset value of each predeterminable area remaining in addition to the edge predeterminable area of a week.
On the basis of embodiment one, via such scheme, the quantity of the only pixel in each predeterminable area is all big
In or be equal to predeterminable area corresponding first preset value when, the image of acquisition is only effective image, just can by obtain image with
Template image is contrasted.Ensure that the pixel in each predeterminable area of image of acquisition all reaches certain quantity, enter
And can better ensure that acquisition image be effective image.
Embodiment three
Fig. 3 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention three provides, and the present embodiment three is with above-mentioned
Be optimized based on embodiment one, in the present embodiment three, by step 104 according to the pixel in each predeterminable area
Quantity judge obtain image whether be that effective image is optimized for：Quantity according to effective coverage come judge obtain image be
No for effective image.As shown in figure 3, the method includes：
Step 301, using fingerprint sensor obtain image.
Step 302, the image of acquisition is divided at least two predeterminable areas.
Step 303, the quantity of the pixel calculating in each predeterminable area.
Step 304, the quantity of calculating effective coverage, effective coverage is that the quantity of pixel is more than or equal to the default of place
The predeterminable area of corresponding second preset value in region.
Quantity according to the pixel in each predeterminable area obtained above calculates the quantity of effective coverage, wherein, has
The quantity of the pixel in effect region is more than or equal to corresponding second preset value in this region.
Wherein, corresponding second preset value of each predeterminable area is identical or differs.With embodiment two similarly, each is pre-
If corresponding second preset value in region preferably differs；The relation of corresponding second preset value of each predeterminable area is preferably：
Obtain corresponding second preset value of one week each predeterminable area in image border be respectively less than remove the edge predeterminable area of a week it
Corresponding second preset value of remaining each predeterminable area outward.
Step 305, judge that whether the quantity of effective coverage be more than or equal to the 3rd preset value, if it is, the figure obtaining
Picture is effective image, and the image of acquisition and template image are contrasted.
The quantity of effective coverage is compared with the 3rd preset value, if the quantity of effective coverage is more than or equal to the 3rd
Preset value, then the image obtaining is effective image, and the image of acquisition and template image are contrasted.
On the basis of embodiment one, via such scheme, the quantity of the only effective coverage in the image of acquisition is more than
Or when being equal to three preset values, the image of acquisition is only effective image, just can be contrasted the image of acquisition and template image.
Ensure that the pixel in a number of predeterminable area of image of acquisition all reaches certain quantity, and then can be preferably
Ensure that the image obtaining is effective image.
Example IV
Fig. 4 is the schematic flow sheet of the recognition methodss of fingerprint that the embodiment of the present invention four provides, and the present embodiment four is with above-mentioned
Be optimized based on embodiment one, in the present embodiment four, by step 104 according to the pixel in each predeterminable area
Quantity judge that whether the image obtaining is to be optimized for after effective image：Also include if it is not, then being thought highly of using fingerprint sensing
New acquisition image.As shown in figure 4, the method includes：
Step 401, using fingerprint sensor obtain image.
Step 402, the image of acquisition is divided at least two predeterminable areas.
Step 403, the quantity of the pixel calculating in each predeterminable area.
Step 404, according to the quantity of the pixel in each predeterminable area judge obtain image whether be effective image,
If it is, execution step 405, the image of acquisition and template image are contrasted；If it is not, then execution step 406, utilization
Fingerprint sensor reacquires image.
On the basis of embodiment one, via such scheme, when the image obtaining not is effective image, passed using fingerprint
Sensor reacquires to image, in user because maloperation the Zone Full of finger is not placed on fingerprint sensor
When, finger need not be lifted and be placed on the reacquisition that can achieve image on fingerprint sensor again by user.
Embodiment five
Fig. 5 be the embodiment of the present invention five provide the identifying device of fingerprint structural representation, this device can by software and/
Or hardware realization, it is typically integrated in mobile terminal, can realize both bringing just to user by executing the recognition methodss of fingerprint
Profit, saves the resource of mobile terminal again.As shown in figure 5, this device includes：Image collection module 501, predeterminable area segmentation module
502nd, pixel quantity computing module 503 and judge module 504.
Wherein, image collection module 501, for obtaining image using fingerprint sensor；Predeterminable area splits module 502,
For the image of acquisition is divided at least two predeterminable areas；Pixel quantity computing module 503, for calculating each preset areas
The quantity of the pixel in domain；Judge module 504, judges acquisition for the quantity according to the pixel in each predeterminable area
Whether image is effective image, if it is, the image of acquisition and template image are contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not entered
Row contrast, but the image of acquisition is divided into after at least two predeterminable areas, calculate the number of the pixel in each predeterminable area
Amount, and judge whether the image obtaining is effective image, only works as acquisition according to the quantity of the pixel in each predeterminable area
Image when being effective image, just the image of acquisition and template image can be contrasted, thus avoid fingerprint sensor obtaining
Take is not the fingerprint recognition failure that leads to of complete image of fingerprint, thus the problem made troubles to user；It also avoid referring to
What stricture of vagina sensor obtained is not the problem that wastes of the mobile terminal resource that leads to of image of fingerprint, and then can bring just to user
Profit and economize on resources.
Preferably, judge module 504 can include：First judging unit, for judging the pixel in each predeterminable area
Whether the quantity of point is more than or equal to corresponding first preset value of predeterminable area, if it is, the image obtaining is effective image.
Preferably, corresponding first preset value of each predeterminable area differs.
Preferably, corresponding first preset value of one week each predeterminable area in the image border of acquisition is respectively less than and removes edge one
Corresponding first preset value of remaining each predeterminable area outside the predeterminable area in week.
Preferably, judge module 504 can include：Effective coverage amount calculation unit and the second judging unit.Wherein, have
Effect region quantity computing unit, for calculating the quantity of effective coverage, effective coverage is more than or equal to institute for the quantity of pixel
Corresponding second preset value of predeterminable area predeterminable area；Second judging unit, the quantity for judging effective coverage is
No be more than or equal to the 3rd preset value, if it is, obtain image be effective image.
Preferably, corresponding second preset value of each predeterminable area is identical or differs.
Preferably, judge module 504 can be also used for if it is not, then reacquiring image using fingerprint sensor.
Said apparatus can perform the recognition methodss of the fingerprint that the embodiment of the present invention one to example IV is provided, and possesses execution
The corresponding functional module of said method and beneficial effect.The ins and outs of detailed description in the present embodiment, not can be found in this
The recognition methodss of the fingerprint that bright embodiment one is provided to example IV.
In addition, the embodiment of the present invention additionally provides a kind of mobile terminal, the fingerprint being provided including the embodiment of the present invention four
Identifying device, be able to carry out the recognition methodss of the fingerprint that the embodiment of the present invention one to example IV is provided.The present invention is implemented
The mobile terminal that example provides, after fingerprint sensor obtains image, it is right directly not carry out the image of acquisition and template image
Than, but the image of acquisition is divided into after at least two predeterminable areas, calculate the quantity of the pixel in each predeterminable area, and
Judge whether the image obtaining is effective image according to the quantity of the pixel in each predeterminable area, only when the image obtaining
When being effective image, just the image of acquisition and template image can be contrasted, thus avoid fingerprint sensor obtaining not
It is the fingerprint recognition failure that the complete image of fingerprint leads to, thus the problem made troubles to user；It also avoid fingerprint sensing
What device obtained is not the problem that wastes of the mobile terminal resource that leads to of image of fingerprint, and then can bring advantage to the user and save
About resource.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (15)
1. a kind of recognition methodss of fingerprint are it is characterised in that include：
Obtain image using fingerprint sensor；
The image of acquisition is divided at least two predeterminable areas；
Calculate the quantity of the pixel in each predeterminable area；
Whether the image judging described acquisition according to the quantity of the pixel in each predeterminable area is effective image, if it is,
Then the image of described acquisition and template image are contrasted.
2. method according to claim 1 is it is characterised in that judge according to the quantity of the pixel in each predeterminable area
Whether the image of described acquisition is that effective image includes：
Judge whether the quantity of the pixel in each predeterminable area described is more than or equal to described predeterminable area corresponding first
Preset value, if it is, the image of described acquisition is effective image.
3. method according to claim 2 is it is characterised in that the corresponding first preset value not phase of each described predeterminable area
With.
4. method according to claim 3 is it is characterised in that one week each predeterminable area in image border of described acquisition
Corresponding first preset value is respectively less than each predeterminable area remaining corresponding the in addition to the described edge predeterminable area of a week
One preset value.
5. method according to claim 1 is it is characterised in that judge according to the quantity of the pixel in each predeterminable area
Whether the image of described acquisition is that effective image includes：
Calculate the quantity of effective coverage, described effective coverage is that the quantity of pixel is more than or equal to the predeterminable area correspondence being located
The second preset value predeterminable area；
Judge whether the quantity of described effective coverage is more than or equal to the 3rd preset value, if it is, the image of described acquisition is
Effective image.
6. method according to claim 5 is it is characterised in that corresponding second preset value of each described predeterminable area is identical
Or differ.
7. method according to claim 1 is it is characterised in that judge according to the quantity of the pixel in each predeterminable area
After whether the image of described acquisition is effective image, methods described also includes：
If it is not, then reacquiring image using described fingerprint sensor.
8. a kind of identifying device of fingerprint is it is characterised in that include：
Image collection module, for obtaining image using fingerprint sensor；
Predeterminable area splits module, for the image of acquisition is divided at least two predeterminable areas；
Pixel quantity computing module, for calculating the quantity of the pixel in each predeterminable area；
Judge module, whether the image for judging described acquisition according to the quantity of the pixel in each predeterminable area is effective
Image, if it is, the image of described acquisition and template image are contrasted.
9. device according to claim 8 is it is characterised in that described judge module includes：
Whether the first judging unit, for judging the quantity of the pixel in each predeterminable area described more than or equal to described pre-
If corresponding first preset value in region, if it is, the image of described acquisition is effective image.
10. device according to claim 9 it is characterised in that corresponding first preset value of each described predeterminable area not
Identical.
11. devices according to claim 10 are it is characterised in that one week each preset areas in image border of described acquisition
It is corresponding that corresponding first preset value in domain is respectively less than each predeterminable area remaining in addition to the described edge predeterminable area of a week
First preset value.
12. devices according to claim 8 are it is characterised in that described judge module includes：
Effective coverage amount calculation unit, for calculating the quantity of effective coverage, described effective coverage is that the quantity of pixel is big
In or be equal to be located corresponding second preset value of predeterminable area predeterminable area；
Second judging unit, whether the quantity for judging described effective coverage is more than or equal to the 3rd preset value, if it is,
The image of described acquisition is effective image.
13. devices according to claim 12 are it is characterised in that the corresponding second preset value phase of each described predeterminable area
With or differ.
14. devices according to claim 8 are it is characterised in that described judge module is additionally operable to if it is not, then utilizing described
Fingerprint sensor reacquires image.
A kind of 15. mobile terminals are it is characterised in that include the arbitrary described device of claim 8-14.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510681116.0A CN105243369B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methodss of fingerprint, device and mobile terminal |
| PCT/CN2016/092417 WO2017067269A1 (en) | 2015-10-19 | 2016-07-29 | Method and device for fingerprint recognition and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510681116.0A CN105243369B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methodss of fingerprint, device and mobile terminal |
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| CN105243369A CN105243369A (en) | 2016-01-13 |
| CN105243369B true CN105243369B (en) | 2017-03-08 |
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| CN101751550B (en) * | 2008-12-19 | 2012-02-01 | 杭州中正生物认证技术有限公司 | Fast fingerprint searching method and fast fingerprint searching system thereof |
| CN102054161B (en) * | 2009-11-02 | 2013-09-11 | 纬创资通股份有限公司 | Fingerprint image inspection method |
| CN104077560B (en) * | 2014-01-13 | 2017-07-04 | 北京市公安局刑事侦查总队 | Fingerprint comparison method |
| CN104978572B (en) * | 2015-06-30 | 2018-10-23 | 魅族科技（中国）有限公司 | A kind of fingerprint collecting method and terminal |
| CN105243369B (en) * | 2015-10-19 | 2017-03-08 | 广东欧珀移动通信有限公司 | A kind of recognition methodss of fingerprint, device and mobile terminal |
-
2015
- 2015-10-19 CN CN201510681116.0A patent/CN105243369B/en active Active
-
2016
- 2016-07-29 WO PCT/CN2016/092417 patent/WO2017067269A1/en active Application Filing
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110102904A (en) * | 2019-04-03 | 2019-08-09 | 大族激光科技产业集团股份有限公司 | The laser marking method and system of watchcase character |
Also Published As
| Publication number | Publication date |
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| CN105243369A (en) | 2016-01-13 |
| WO2017067269A1 (en) | 2017-04-27 |
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Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |