CN105243369A - Fingerprint identification method and device, and mobile terminal - Google Patents
Fingerprint identification method and device, and mobile terminal Download PDFInfo
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- CN105243369A CN105243369A CN201510681116.0A CN201510681116A CN105243369A CN 105243369 A CN105243369 A CN 105243369A CN 201510681116 A CN201510681116 A CN 201510681116A CN 105243369 A CN105243369 A CN 105243369A
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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
Embodiments of the invention disclose a fingerprint identification method and device, and a mobile terminal. The method comprises: obtaining an image by means of a fingerprint sensor; dividing the obtained image into at least two preset areas; calculating the number of pixel points within each preset area; judging whether the obtained image is a valid image according to the number of pixel points in each preset area, and comparing the obtained image with a template image if yes. The fingerprint identification method and device and the mobile terminal disclosed by the embodiments of the invention bring convenience for users and save resources.
Description
Technical field
The embodiment of the present invention relates to fingerprint intelligent recognition technology field, particularly relates to a kind of recognition methods of fingerprint, device and mobile terminal.
Background technology
Because fingerprint has unchangeable property, uniqueness and convenience, be widely used in identification, especially, be employed to use as password (startup password of such as mobile terminal and the payment cipher of Taobao), to ensure privacy or even the property safety of user in the terminal.When using fingerprint as password, user needs finger to be placed on the fingerprint sensor of mobile terminal configuration, and fingerprint sensor detects the fingerprint of user, obtain fingerprint image, then fingerprint image is mated with template image, if the match is successful, then identify that successfully that is: password is correct; If mate unsuccessful, then recognition failures, that is: code error.
Because fingerprint sensor is sensitiveer, when finger is not also stably fitted on fingerprint sensor, or when other parts of skin that fingerprint sensor is close to the users or even mobile terminal are placed in pocket, fingerprint sensor can to finger or user other parts of skin even pocket detect, obtain image, due in said method, as long as fingerprint sensor obtains the action of image with regard to trigger match, therefore, whether what in said method, fingerprint sensor obtained is that this image and template image all can contrast by the complete image of fingerprint or the image of fingerprint, when fingerprint sensor identification be the imperfect image of fingerprint time, user needs finger to take away from fingerprint sensor to put down again to identify fingerprint image again, this brings inconvenience to user, when fingerprint sensor identification be not the image of fingerprint time, the resource of mobile terminal can be wasted.
Summary of the invention
The embodiment of the present invention proposes a kind of recognition methods of fingerprint, device and mobile terminal, to make troubles and the problem of wasting mobile terminal resource to solve existing fingerprinting scheme to user.
First aspect, embodiments provides a kind of recognition methods of fingerprint, comprising:
Fingerprint sensor is utilized to obtain image;
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 so, then the image of described acquisition and template image is contrasted.
Second aspect, the embodiment of the present invention additionally provides a kind of recognition device of fingerprint, comprising:
Image collection module, obtains image for utilizing fingerprint sensor;
Predeterminable area segmentation module, for being divided at least two predeterminable areas by the image of acquisition;
Pixel number calculating section, for calculating the quantity of the pixel in each predeterminable area;
Judge module, for judging according to the quantity of the pixel in each predeterminable area whether the image of described acquisition is effective image, if so, then the image of described acquisition and template image is contrasted.
The third aspect, the embodiment of the present invention additionally provides a kind of mobile terminal, comprises the device that second aspect provides.
The recognition methods of the fingerprint that the embodiment of the present invention provides, device and mobile terminal, after the image obtained utilizing fingerprint sensor is divided at least two predeterminable areas, calculate the quantity of the pixel in each predeterminable area, and judge whether the image obtained is effective image according to the quantity of the pixel in each predeterminable area, if so, then 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 contrasted, but first judge whether the image obtained is effective image, only have when the image obtained is effective image, just the image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles; What it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention one provides.
Fig. 2 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention two provides.
Fig. 3 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention three provides.
Fig. 4 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention four provides.
Fig. 5 is the structural representation of the recognition device of the fingerprint that the embodiment of the present invention five provides.
Embodiment
Technical scheme of the present invention is further illustrated by embodiment below in conjunction with accompanying drawing.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not entire infrastructure.
Before in further detail exemplary embodiment being discussed, it should be mentioned that some exemplary embodiments are described as the process or method described as process flow diagram.Although every step is described as the process of order by process flow diagram, many steps wherein can be implemented concurrently, concomitantly or simultaneously.In addition, the order of every step can be rearranged.When its step completes, described process can be terminated, but can also have the additional step do not comprised in the accompanying drawings.Described process can correspond to method, function, code, subroutine, subroutine etc.
Embodiment one
Fig. 1 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention one provides, and the method can be performed by the recognition device of fingerprint, and wherein this device can by software and/or hardware implementing, and general accessible site in the terminal.As shown in Figure 1, the method comprises:
Step 101, utilize fingerprint sensor obtain image.
Because integrated fingerprint sensor is in the terminal sensitiveer, when the subregion of finger is placed on fingerprint sensor or when being placed in pocket by mobile terminal by user, fingerprint sensor also can detect the clothes of Toe Transplantation for Segmental Finger or pocket, realize obtaining image, therefore, the image of above-mentioned acquisition is not only all images of fingerprint, may be also the parts of images of fingerprint, or even the image of clothes texture.
The action obtaining image can be that fingerprint sensor is subject to pressing rear triggering, this kind of triggering mode can reduce the probability that fingerprint sensor obtains image (that is: obtaining image when not needing to obtain image) by mistake, thus can reduce the waste of mobile 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 areas.Wherein, the quantity of predeterminable area can be arranged according to actual needs; The area of each predeterminable area can be identical, also can not be identical.
Step 103, calculate the quantity of the pixel in each predeterminable area.
Calculate the quantity of the pixel of the image of the acquisition in the above-mentioned each predeterminable area got.
Step 104, according to the quantity of the pixel in each predeterminable area judge obtain image whether be effective image, if so, then the image of acquisition and template image are contrasted.
Judge whether the image that fingerprint sensor obtains is effective image according to the quantity of the pixel in each predeterminable area obtained above, only have when the image obtained 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 contrasted, but after the image of acquisition is divided at least one predeterminable area, calculate the quantity of the pixel in each predeterminable area, and judge whether the image obtained is effective image according to the quantity of the pixel in each predeterminable area, only have when the image obtained is effective image, just the image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles, what it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Embodiment two
Fig. 2 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention two provides, the present embodiment two is optimized based on above-described embodiment one, in the present embodiment two, by step 104 according to the quantity of the pixel in each predeterminable area judge obtain image whether be that effective image is optimized for: according to the quantity of the pixel in each predeterminable area whether be more than or equal to the first preset value corresponding to predeterminable area judge obtain image whether be effective image.As shown in Figure 2, the method comprises:
Step 201, utilize fingerprint sensor obtain image.
Step 202, the image of acquisition is divided at least two predeterminable areas.
Step 203, calculate the quantity of the pixel in each predeterminable area.
Step 204, judge whether the quantity of the pixel in each predeterminable area is more than or equal to the first preset value corresponding to predeterminable area, if so, then the image obtained is effective image, and the image of acquisition and template image is contrasted.
The first corresponding with this predeterminable area for the quantity of the pixel in the above-mentioned each predeterminable area calculated preset value is compared, if the quantity of the pixel in each predeterminable area is all more than or equal to the first preset value corresponding to predeterminable area, the image then obtained is effective image, now the effective image of acquisition and template image is contrasted.
The first preset value that each predeterminable area is corresponding can be identical, also can not be identical.Because the fingerprint in each region of finger is all not identical, therefore, the first preset value that each predeterminable area is corresponding is preferably not identical, finger can be placed on the custom of the position on fingerprint sensor according to user by the first preset value corresponding to each predeterminable area, and (position be placed on fingerprint sensor by the finger of user can obtain the position of fingerprint image on fingerprint sensor, thus the number of the pixel pointed when being correctly placed on fingerprint sensor in each region can be obtained, and then the number of pixel when correctly can be placed on fingerprint sensor according to finger in each region obtains the first preset value corresponding to each predeterminable area) arrange.
Due to user finger is placed on fingerprint sensor time, the part of finger edge can not contact well with fingerprint sensor, therefore, the fingerprint image at the edge of the image that fingerprint sensor obtains is less, therefore, the relation of the first preset value that each predeterminable area is corresponding is preferably: the first preset value that image border each predeterminable area of a week of acquisition is corresponding is all less than the first preset value that remaining each predeterminable area is corresponding except the edge predeterminable area of a week.
On the basis of embodiment one, via such scheme, when only having the quantity of the pixel in each predeterminable area to be all more than or equal to the first preset value corresponding to predeterminable area, the image of acquisition is only effective image, just the image of acquisition and template image can be contrasted.Ensure that the pixel in each predeterminable area of the image of acquisition all reaches certain quantity, and then can ensure that the image obtained is effective image better.
Embodiment three
Fig. 3 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention three provides, the present embodiment three is optimized based on above-described embodiment one, in the present embodiment three, by step 104 according to the quantity of the pixel in each predeterminable area judge obtain image whether be that effective image is optimized for: according to the quantity of effective coverage judge obtain image whether be effective image.As shown in Figure 3, the method comprises:
Step 301, utilize fingerprint sensor obtain image.
Step 302, the image of acquisition is divided at least two predeterminable areas.
Step 303, calculate the quantity of the pixel in each predeterminable area.
Step 304, calculate the quantity of effective coverage, effective coverage is the predeterminable area that the quantity of pixel is more than or equal to the second preset value corresponding to the predeterminable area at place.
Calculate the quantity of effective coverage according to the quantity of the pixel in each predeterminable area obtained above, wherein, the quantity of the pixel in effective coverage is more than or equal to the second preset value corresponding to this region.
Wherein, the second preset value that each predeterminable area is corresponding is identical or not identical.With embodiment two similarly, the second preset value corresponding to each predeterminable area is preferably not identical; The relation of the second preset value that each predeterminable area is corresponding is preferably: the second preset value that image border each predeterminable area of a week of acquisition is corresponding is all less than the second preset value that remaining each predeterminable area is corresponding except the edge predeterminable area of a week.
Step 305, judge whether the quantity of effective coverage is more than or equal to the 3rd preset value, if so, then the image obtained is effective image, and the image of acquisition and template image is contrasted.
The quantity of effective coverage and the 3rd preset value are compared, if the quantity of effective coverage is more than or equal to the 3rd preset value, then the image obtained is effective image, and the image of acquisition and template image is contrasted.
On the basis of embodiment one, via such scheme, when only having the quantity of the effective coverage in the image of acquisition to be more than or equal to the 3rd preset value, the image of acquisition is only effective image, just the image of acquisition and template image can be contrasted.Ensure that the pixel in the predeterminable area of the some of the image of acquisition all reaches certain quantity, and then can ensure that the image obtained is effective image better.
Embodiment four
Fig. 4 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention four provides, the present embodiment four is optimized based on above-described embodiment one, in the present embodiment four, by in step 104 according to the quantity of the pixel in each predeterminable area judge obtain image whether be effective image after be optimized for: also comprise if not, then utilize fingerprint sensor again to obtain image.As shown in Figure 4, the method comprises:
Step 401, utilize fingerprint sensor obtain image.
Step 402, the image of acquisition is divided at least two predeterminable areas.
Step 403, calculate the quantity of the pixel 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 so, then perform step 405, the image of acquisition and template image are contrasted; If not, then perform step 406, utilize fingerprint sensor again to obtain image.
On the basis of embodiment one, via such scheme, when the image obtained is not effective image, fingerprint sensor is utilized again to obtain image, when the Zone Full of finger is not placed on fingerprint sensor due to maloperation by user, user will not point the acquisition again of lifting and being placed on and fingerprint sensor can realizing image.
Embodiment five
Fig. 5 is the structural representation of the recognition device of the fingerprint that the embodiment of the present invention five provides, this device can by software and/or hardware implementing, generally in the terminal integrated, realize both bringing advantage to the user by the recognition methods performing fingerprint, save again the resource of mobile terminal.As shown in Figure 5, this device comprises: the segmentation of image collection module 501, predeterminable area module 502, pixel number calculating section 503 and judge module 504.
Wherein, image collection module 501, obtains image for utilizing fingerprint sensor; Predeterminable area segmentation module 502, for being divided at least two predeterminable areas by the image of acquisition; Pixel number calculating section 503, for calculating the quantity of the pixel in each predeterminable area; Judge module 504, for judging according to the quantity of the pixel in each predeterminable area whether the image obtained is effective image, if so, then the image of acquisition and template image is contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not contrasted, but after the image of acquisition is divided at least one predeterminable area, calculate the quantity of the pixel in each predeterminable area, and judge whether the image obtained is effective image according to the quantity of the pixel in each predeterminable area, only have when the image obtained is effective image, just the image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles, what it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Preferably, judge module 504 can comprise: the first judging unit, and for judging whether the quantity of the pixel in each predeterminable area is more than or equal to the first preset value corresponding to predeterminable area, if so, then the image obtained is effective image.
Preferably, the first preset value that each predeterminable area is corresponding is not identical.
Preferably, the first preset value that image border each predeterminable area of a week of acquisition is corresponding is all less than the first preset value that remaining each predeterminable area is corresponding except the edge predeterminable area of a week.
Preferably, judge module 504 can comprise: effective coverage amount calculation unit and the second judging unit.Wherein, effective coverage amount calculation unit, for calculating the quantity of effective coverage, effective coverage is the predeterminable area that the quantity of pixel is more than or equal to the second preset value corresponding to the predeterminable area at place; Second judging unit, for judging whether the quantity of effective coverage is more than or equal to the 3rd preset value, if so, then the image obtained is effective image.
Preferably, the second preset value that each predeterminable area is corresponding is identical or not identical.
Preferably, judge module 504 can also be used for if not, then utilize fingerprint sensor again to obtain image.
Said apparatus can perform the recognition methods of the fingerprint that the embodiment of the present invention one to embodiment four provides, and possesses and performs the corresponding functional module of said method and beneficial effect.The not ins and outs of detailed description in the present embodiment, the recognition methods of the fingerprint that can provide see the embodiment of the present invention one to embodiment four.
In addition, the embodiment of the present invention additionally provides a kind of mobile terminal, comprises the recognition device of the fingerprint that the embodiment of the present invention four provides, and can perform the recognition methods of the fingerprint that the embodiment of the present invention one to embodiment four provides.The mobile terminal that the embodiment of the present invention provides, after fingerprint sensor obtains image, directly the image of acquisition and template image are not contrasted, but after the image of acquisition is divided at least one predeterminable area, calculate the quantity of the pixel in each predeterminable area, and judge whether the image obtained is effective image according to the quantity of the pixel in each predeterminable area, only have when the image obtained is effective image, just the image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles, what it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.
Claims (15)
1. a recognition methods for fingerprint, is characterized in that, comprising:
Fingerprint sensor is utilized to obtain image;
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 so, then the image of described acquisition and template image is contrasted.
2. method according to claim 1, is characterized in that, judges whether the image of described acquisition is that effective image comprises according to the quantity of the pixel in each predeterminable area:
Judge whether the quantity of the pixel in described each predeterminable area is more than or equal to the first preset value corresponding to described predeterminable area, if so, then the image of described acquisition is effective image.
3. method according to claim 2, is characterized in that, the first preset value that each described predeterminable area is corresponding is not identical.
4. method according to claim 3, is characterized in that, the first preset value that image border each predeterminable area of a week of described acquisition is corresponding is all less than the first preset value that remaining each predeterminable area is corresponding except the described edge predeterminable area of a week.
5. method according to claim 1, is characterized in that, judges whether the image of described acquisition is that effective image comprises according to the quantity of the pixel in each predeterminable area:
Calculate the quantity of effective coverage, described effective coverage is the predeterminable area that the quantity of pixel is more than or equal to the second preset value corresponding to the predeterminable area at place;
Judge whether the quantity of described effective coverage is more than or equal to the 3rd preset value, if so, then the image of described acquisition is effective image.
6. method according to claim 5, is characterized in that, the second preset value that each described predeterminable area is corresponding is identical or not identical.
7. method according to claim 1, is characterized in that, after judging whether the image of described acquisition is effective image according to the quantity of the pixel in each predeterminable area, described method also comprises:
If not, then described fingerprint sensor is utilized again to obtain image.
8. a recognition device for fingerprint, is characterized in that, comprising:
Image collection module, obtains image for utilizing fingerprint sensor;
Predeterminable area segmentation module, for being divided at least two predeterminable areas by the image of acquisition;
Pixel number calculating section, for calculating the quantity of the pixel in each predeterminable area;
Judge module, for judging according to the quantity of the pixel in each predeterminable area whether the image of described acquisition is effective image, if so, then the image of described acquisition and template image is contrasted.
9. device according to claim 8, is characterized in that, described judge module comprises:
First judging unit, for judging whether the quantity of the pixel in described each predeterminable area is more than or equal to the first preset value corresponding to described predeterminable area, if so, then the image of described acquisition is effective image.
10. device according to claim 9, is characterized in that, the first preset value that each described predeterminable area is corresponding is not identical.
11. devices according to claim 10, it is characterized in that, the first preset value that image border each predeterminable area of a week of described acquisition is corresponding is all less than the first preset value that remaining each predeterminable area is corresponding except the described edge predeterminable area of a week.
12. devices according to claim 8, is characterized in that, described judge module comprises:
Effective coverage amount calculation unit, for calculating the quantity of effective coverage, described effective coverage is the predeterminable area that the quantity of pixel is more than or equal to the second preset value corresponding to the predeterminable area at place;
Second judging unit, for judging whether the quantity of described effective coverage is more than or equal to the 3rd preset value, if so, then the image of described acquisition is effective image.
13. devices according to claim 12, is characterized in that, the second preset value that each described predeterminable area is corresponding is identical or not identical.
14. devices according to claim 8, is characterized in that, described judge module also for if not, then utilizes described fingerprint sensor again to obtain image.
15. 1 kinds of mobile terminals, is characterized in that, comprise 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 |
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| Application Number | Priority Date | Filing Date | Title |
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| 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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| CN105243369B CN105243369B (en) | 2017-03-08 |
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| WO2017067288A1 (en) * | 2015-10-19 | 2017-04-27 | 广东欧珀移动通信有限公司 | Fingerprint recognition method and apparatus, and mobile terminal |
| WO2017067269A1 (en) * | 2015-10-19 | 2017-04-27 | 广东欧珀移动通信有限公司 | Method and device for fingerprint recognition and mobile terminal |
| WO2017067289A1 (en) * | 2015-10-19 | 2017-04-27 | 广东欧珀移动通信有限公司 | Fingerprint recognition method, apparatus, and mobile terminal |
| CN105809133A (en) * | 2016-03-08 | 2016-07-27 | 广东欧珀移动通信有限公司 | Fingerprint feature information updating method and device |
| WO2017161557A1 (en) * | 2016-03-25 | 2017-09-28 | Microsoft Technology Licensing, Llc | Communication of fingerprint data |
| CN106127000A (en) * | 2016-06-17 | 2016-11-16 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint method and terminal |
| CN106250876A (en) * | 2016-08-19 | 2016-12-21 | 深圳市金立通信设备有限公司 | A kind of fingerprint identification method and terminal |
| CN106250876B (en) * | 2016-08-19 | 2019-10-22 | 深圳市金立通信设备有限公司 | A kind of fingerprint identification method and terminal |
| WO2018170658A1 (en) * | 2017-03-20 | 2018-09-27 | 深圳市汇顶科技股份有限公司 | Fingerprint recognition method and apparatus |
| CN109583453A (en) * | 2017-09-29 | 2019-04-05 | 阿里巴巴集团控股有限公司 | The recognition methods of image and device, the recognition methods of data, terminal |
| CN110008796A (en) * | 2018-01-04 | 2019-07-12 | 金佶科技股份有限公司 | Biological characteristic image processing method and its electronic device |
| CN110008796B (en) * | 2018-01-04 | 2021-06-01 | 金佶科技股份有限公司 | Biological characteristic image processing method and electronic device thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105243369B (en) | 2017-03-08 |
| WO2017067269A1 (en) | 2017-04-27 |
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