CN105303175B - A kind of recognition methods of fingerprint, device and mobile terminal - Google Patents
A kind of recognition methods of fingerprint, device and mobile terminal Download PDFInfo
- Publication number
- CN105303175B CN105303175B CN201510681120.7A CN201510681120A CN105303175B CN 105303175 B CN105303175 B CN 105303175B CN 201510681120 A CN201510681120 A CN 201510681120A CN 105303175 B CN105303175 B CN 105303175B
- Authority
- CN
- China
- Prior art keywords
- image
- acquisition
- fingerprint sensor
- pixel
- fingerprint
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 239000002699 waste material Substances 0.000 description 5
- 238000005457 optimization Methods 0.000 description 3
- 230000000994 depressogenic effect Effects 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002054 transplantation Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- 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
- G06V40/1365—Matching; Classification
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Image Input (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Abstract
The embodiment of the invention discloses a kind of recognition methods of fingerprint, device and mobile terminal, wherein, this method includes：Image is obtained using fingerprint sensor；Calculate the quantity of the often capable pixel in the predeterminable area of the image obtained；Whether the image for judging the acquisition according to the quantity of the often capable pixel includes effective image, if it is, the effective image of the acquisition and template image are contrasted.Recognition methods, device and the mobile terminal of fingerprint disclosed in the embodiment of the present invention, can bring advantage to the user and economize on resources.
Description
Technical field
The present embodiments relate to fingerprint intelligent identification technology field, more particularly to a kind of recognition methods of fingerprint, device
And mobile terminal.
Background technology
Because fingerprint has unchangeable property, uniqueness and convenience, identification has been widely used in it, especially
Ground, is employed to use as password (such as the startup password of mobile terminal and the payment cipher of Taobao) in the terminal,
To ensure the privacy even property safety of user.When using fingerprint as password, user needs finger being 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 matched, if the match is successful, is recognized successfully, i.e.,：Password is correct；If matching is unsuccessful, recognition failures,
I.e.：Code error.
Because fingerprint sensor is sensitiveer, be not fitted on fingerprint sensor stably also when finger (especially, for
Custom moves finger from the top down or from bottom to top, and finger is fitted in the user on fingerprint sensor), or fingerprint
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 person user even pocket is detected, image is obtained, due in the above method, as long as fingerprint sensor is obtained
The action of matching is just triggered to image, therefore, in the above method no matter fingerprint sensor obtain whether be fingerprint complete graph
The image of picture or fingerprint can all be contrasted the image and template image, and what it is when fingerprint sensor identification is the endless of fingerprint
During whole image, user needs to take away finger from fingerprint sensor to be put down to re-recognize fingerprint image again, this to user with
Inconvenience is carried out；When fingerprint sensor recognize be not the image of fingerprint when, the resource of mobile terminal can be wasted.
The content of the invention
The embodiment of the present invention proposes a kind of recognition methods of fingerprint, device and mobile terminal, to solve existing fingerprint
The problem of identifying schemes are made troubles to user and waste mobile terminal resource.
In a first aspect, the embodiments of the invention provide a kind of recognition methods of fingerprint, including：
Image is obtained using fingerprint sensor；
Calculate the quantity of the often capable pixel in the predeterminable area of the image obtained；
Whether the image for judging the acquisition according to the quantity of the often capable pixel includes effective image, if it is,
Then the effective image of the acquisition and template image are 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；
The number of often capable pixel in pixel quantity computing module, the predeterminable area for calculating the image obtained
Amount；
Judge module, for being judged the image of the acquisition whether comprising effective according to the quantity of the often capable pixel
Image, if it is, the effective image of the acquisition and template image are contrasted.
The third aspect, the embodiment of the present invention additionally provides a kind of mobile terminal, including the device that second aspect is provided.
Recognition methods, device and the mobile terminal of fingerprint provided in an embodiment of the present invention, calculating utilize fingerprint sensor
The quantity of often capable pixel in the predeterminable area of the image of acquisition, and judge what is obtained according to the quantity of the pixel of every row
Whether image includes effective image, if it is, the effective image of acquisition and template image are contrasted.Via above-mentioned side
Case, after fingerprint sensor obtains image, is not directly contrasted the image of acquisition and template image, but first judges to obtain
Whether the image taken includes effective image, just can be by the effective image of acquisition only when the image of acquisition includes effective image
Contrasted with template image, thus avoid fingerprint sensor acquisition be not fingerprint complete image caused by fingerprint recognition
Failure, so that the problem of being made troubles to user；It also avoid fingerprint sensor acquisition is not the caused shifting of image of fingerprint
The problem of dynamic terminal resource is wasted, and then can bring advantage to the user and economize on resources.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention one is provided.
Fig. 2 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention two is provided.
Fig. 3 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention three is provided.
Fig. 4 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention four is provided.
Fig. 5 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention five is provided.
Fig. 6 is the structural representation of the identifying device for the fingerprint that the embodiment of the present invention six is provided.
Embodiment
Further illustrate technical scheme below in conjunction with the accompanying drawings and by embodiment.It 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, part related to the present invention rather than entire infrastructure are illustrate only in accompanying drawing.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing described as flow chart or method.Although every step is described as the processing of order by flow chart, therein to be permitted
Multi-step can be implemented concurrently, concomitantly or simultaneously.In addition, the order of every step can be rearranged.When it
The processing can be terminated when step is completed, it is also possible to the additional step being not included in accompanying drawing.The processing
It can correspond to method, function, code, subroutine, subprogram etc..
Embodiment one
Fig. 1 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention one is provided, and this method can be by fingerprint
Identifying device perform, wherein the device can be realized by software and/or hardware, typically can it is integrated in the terminal.Such as Fig. 1 institutes
Show, this method includes：
Step 101, utilize 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 on fingerprint sensor or by mobile terminal in pocket, fingerprint sensor also can be to Toe Transplantation for Segmental Finger or the clothing of pocket
Take and detected, realize and obtain image, therefore, the image of above-mentioned acquisition is not only all images of fingerprint, it is also possible to referred to
The image of the parts of images of line, even clothes texture.
The quantity of step 102, the often capable pixel calculated in the predeterminable area of the image obtained.
Predeterminable area can be obtain image whole region or acquisition image subregion.Due to
When finger is placed on fingerprint sensor by user, the part of finger edge can not well be contacted with fingerprint sensor, because
This, the fringe region for the image that fingerprint sensor is obtained is the region for being easiest to error occur, therefore, predeterminable area, which can also be, to be obtained
The fringe region of the image taken.
The quantity of the often capable pixel of step 103, basis judges whether the image obtained includes effective image, if it is,
Then the effective image of acquisition and template image are contrasted.
The figure obtained is judged according to the quantity of the often capable pixel in the predeterminable area of the image of acquisition obtained above
Seem it is no including effective image, just can be by the effective image and template of acquisition only when the image of acquisition includes effective image
Image is contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not entered
Row contrast, but the quantity of the often capable pixel in the predeterminable area of the image obtained using fingerprint sensor is calculated, and root
Judge whether the image obtained includes effective image according to the quantity of the pixel of every row, only when the image of acquisition includes effectively figure
During picture, the effective image of acquisition and template image can just be contrasted, so as to avoid not referring to for fingerprint sensor acquisition
Fingerprint recognition fails caused by the complete image of line, so that the problem of being made troubles to user；Fingerprint sensor is it also avoid to obtain
Take be not fingerprint image caused by mobile terminal resource the problem of waste, and then can bring advantage to the user and save money
Source.
On the basis of such scheme, step 101, obtain using fingerprint sensor image before, this method can be with
Including：Judge whether fingerprint sensor is pressed, if it is, obtaining image using fingerprint sensor.
Via such scheme, only when fingerprint sensor is depressed, image can be just obtained, i.e.,：Obtain the dynamic of image
Work is the depressed rear triggering of fingerprint sensor, and such a triggering mode can reduce fingerprint sensor and obtain image (i.e. by mistake：
Obtain image when image need not be obtained) probability, so as to reduce the waste of mobile terminal resource.
Embodiment two
Fig. 2 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention two is provided, and the present embodiment two is with above-mentioned
Optimized based on embodiment one, in the present embodiment two, the quantity for the pixel that the basis in step 103 is often gone judges
The image of acquisition whether be comprising effective image optimization：Judge whether the quantity of often capable pixel is more than or equal to corresponding line pair
The first preset value answered.As shown in Fig. 2 this method includes：
Step 201, utilize fingerprint sensor obtain image.
The quantity of step 202, the often capable pixel calculated in the predeterminable area of the image obtained.
Whether the quantity of the often capable pixel of step 203, judgement is more than or equal to corresponding first preset value of corresponding line, such as
Fruit is that the image then obtained includes effective image, and the effective image of acquisition and template image are contrasted.
The quantity and corresponding line pair of often capable pixel in the predeterminable area of the image for the acquisition that above-mentioned calculating is obtained
The first preset value answered is compared, if often the quantity of capable pixel corresponding more than or equal to corresponding line first is preset
Value, the then image obtained includes effective image, and now, the effective image of acquisition and template image are contrasted.
Often go corresponding first preset value be able to can also be differed with identical, due to finger different zones fingerprint not
Identical, therefore, corresponding first preset value of often going is preferably to differ, in addition：Often going corresponding first preset value can part
It is identical, partly differ.When due to user, finger is placed on fingerprint sensor, the part of finger edge can not be with fingerprint
Sensor contacts (negligible amounts of the pixel of the fringe region of the image obtained) well, therefore, often goes corresponding the
The relation of one preset value is preferably：Corresponding first preset value of often going of the fringe region of the image of acquisition is respectively less than except marginal zone
Often capable corresponding first preset value of remaining area outside domain.
On the basis of embodiment one, via such scheme, the often capable picture in the predeterminable area of the image only obtained
When the quantity of vegetarian refreshments is more than or equal to corresponding line corresponding first preset value, the image of acquisition can be by just comprising effective image,
The effective image of acquisition is contrasted with template image.Ensure that acquisition image predeterminable area in often capable pixel
Quantity reaches certain quantity, and then can better ensure that the image of acquisition includes effective image.
It is understood that it is the image by judging to obtain that whether the above-mentioned image for judging to obtain, which includes effective image,
Whether the quantity of the often capable pixel of predeterminable area is more than or equal to corresponding first preset value of corresponding line come what is realized, may be used also
Whether to be more than or equal to corresponding line correspondence by the quantity of the pixel of the part row of the predeterminable area for the image for judging to obtain
First preset value realize.
Embodiment three
Fig. 3 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention three is provided, and the present embodiment three is with above-mentioned
Optimized based on embodiment one, in the present embodiment three, be preferably by the acquisition image in step 101：Continuously obtain
Image；The quantity for the pixel that basis in step 103 is often gone judge obtain image whether be comprising effective image optimization：Sentence
Whether the image that disconnected each moment obtains includes effective image.As shown in figure 3, this method includes：
Step 301, using fingerprint sensor at interval of the first preset time period obtain an image.
At interval of the first preset time period, an image is obtained using fingerprint sensor, realization continuously obtains image.
Step 302, the often capable pixel that calculates in the predeterminable area for the image that each moment fingerprint sensor is obtained
Quantity.
The quantity of often capable pixel in the predeterminable area for the image for calculating each moment acquisition, i.e.,：Often obtain once
Image, just calculates the quantity of the often capable pixel in the predeterminable area of the image once obtained, realizes and calculate what is each obtained
The quantity of often capable pixel in the predeterminable area of image.
The value of step 303, the N determined in the image that each moment fingerprint sensor is obtained, wherein, the first row to Nth row
The quantity of pixel be respectively less than or the second preset value corresponding equal to corresponding line.
The quantity of often capable pixel in the predeterminable area for the image that each moment obtained according to above-mentioned calculating obtains
It is determined that the value of the N in the image of each moment acquisition, realizes the value of the N in the image for determining each to obtain.
The first row can be the nethermost row of image of the uppermost row of the image or acquisition obtained.
Often go corresponding second preset value be able to can also be differed with identical, due to finger different zones fingerprint not
Identical, therefore, corresponding second preset value of often going is preferably to differ, in addition：Often going corresponding second preset value can part
It is identical, partly differ.When due to user, finger is placed on fingerprint sensor, the part of finger edge can not be with fingerprint
Sensor contacts (negligible amounts of the pixel of the fringe region of the image obtained) well, therefore, often goes corresponding the
The relation of two preset values is preferably：Corresponding second preset value of often going of the fringe region of the image of acquisition is respectively less than except marginal zone
Often capable corresponding second preset value of remaining area outside domain.
Step 304, the changing value for calculating N in the second preset time period, wherein, the second preset time period is more than described first
Preset time period.
The value of N in the image obtained according to each moment of above-mentioned determination, calculates the change of N in the second preset time period
Value.
It is understood that to expect the changing value of the N in certain period of time, then need to have at least within this time
Two N values, i.e.,：The image for there are at least two acquisitions within this time is needed, therefore, only the second preset time period is more than the
During one preset time period, the number of the image obtained in the second preset time period can just be equal to or more than two.
Step 305, judge N changing value whether be less than or equal to the 3rd preset value, if it is, determine the last moment obtain
The image taken is effective image, and the effective image of acquisition and template image are compared.
N obtained above changing value is compared with the 3rd preset value, if N changing value is less than or equal to the 3rd
Preset value, it is determined that the image that the last moment obtains is effective image.
It is understood that due to having been obtained for desired effective image, and by the effective image and Prototype drawing of acquisition
As being contrasted, therefore, after the image of acquisition and template image are contrasted, fingerprint sensor can stop acquisition figure
Picture.
For back touching type fingerprint sensor (i.e.：Fingerprint sensor be located at mobile terminal the back side), user when in use,
Finger is moved upward to below fingerprint sensor realize and finger is placed on fingerprint sensor by custom, therefore, with
When finger is not completely placed on fingerprint sensor by family, the pixel of the lower zone in the image that fingerprint sensor is obtained
Quantity is more, the negligible amounts of the pixel of upper area, in addition, user movement finger during, pixel quantity compared with
The area of many lower zones is increasing；The area of the less upper area of pixel quantity is less and less, when user is by hand
When finger is completely placed on fingerprint sensor and stops moving, the variable quantity and picture of the more lower zone area of pixel quantity
The variable quantity of the upper area area of vegetarian refreshments negligible amounts is almost 0.In such scheme, when the uppermost row of the image of acquisition is
During the first row, because the quantity of the pixel of the first row to Nth row is respectively less than or the second preset value corresponding equal to corresponding line, because
This, during image is obtained, the quantity of the pixel of the lower zone of the image of acquisition is more, the pixel of upper area
Negligible amounts；If N changing value is less than or equal to the 3rd preset value, pixels illustrated point quantity in the second preset time period
The variable quantity of the less upper area area of the variable quantity and pixel quantity of more lower zone area is smaller, now,
The image of acquisition relatively stablize, be the complete image of fingerprint (i.e.：Effective image).Therefore, the fingerprint that the embodiment of the present invention three is provided
Recognition methods be adapted to the fingerprint sensor of back touching type.
Example IV
Fig. 4 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention four is provided, and the present embodiment four is with above-mentioned
Optimized based on embodiment one, in the present embodiment four, be preferably by the acquisition image in step 101：Continuously obtain
Image；The quantity for the pixel that basis in step 103 is often gone judge obtain image whether be comprising effective image optimization：Sentence
Whether the image that disconnected each moment obtains includes effective image.As shown in figure 4, this method includes：
Step 401, using fingerprint sensor at interval of the first preset time period obtain an image.
At interval of the first preset time period, an image is obtained using fingerprint sensor, realization continuously obtains image.
Step 402, the often capable pixel that calculates in the predeterminable area for the image that each moment fingerprint sensor is obtained
Quantity.
The quantity of often capable pixel in the predeterminable area for the image for calculating each moment acquisition, i.e.,：Often obtain once
Image, just calculates the quantity of the often capable pixel in the predeterminable area of the image once obtained, realizes and calculate what is each obtained
The quantity of often capable pixel in the predeterminable area of image.
The value of step 403, the M determined in the image that each moment fingerprint sensor is obtained, wherein, M rows to last
Capable pixel it is equal in number in or more than corresponding 4th preset value of corresponding line.
The quantity of often capable pixel in the predeterminable area for the image that each moment obtained according to above-mentioned calculating obtains
It is determined that the value of the M in the image of each moment acquisition, realizes the value of the M in the image for determining each to obtain.
The first row can be the nethermost row of image of the uppermost row of the image or acquisition obtained.
Often go corresponding 4th preset value be able to can also be differed with identical, due to finger different zones fingerprint not
Identical, therefore, corresponding 4th preset value of often going is preferably to differ, in addition：Often going corresponding 4th preset value can part
It is identical, partly differ.When due to user, finger is placed on fingerprint sensor, the part of finger edge can not be with fingerprint
Sensor contacts (negligible amounts of the pixel of the fringe region of the image obtained) well, therefore, often goes corresponding the
The relation of four preset values is preferably：Corresponding 4th preset value of often going of the fringe region of the image of acquisition is respectively less than except marginal zone
Often capable corresponding 4th preset value of remaining area outside domain.
Step 404, the changing value for calculating M in the 3rd preset time period, wherein, the 3rd preset time period is more than first and preset
Period.
The value of M in the image obtained according to each moment of above-mentioned determination, calculates the change of M in the 3rd preset time period
Value.
It is understood that to expect the changing value of the M in certain period of time, then need to have at least within this time
Two M values, i.e.,：The image for there are at least two acquisitions within this time is needed, therefore, only the 3rd preset time period is more than the
During one preset time period, the number of the image obtained in the 3rd preset time period can just be equal to or more than two.
Step 405, judge M changing value whether be less than or equal to the 5th preset value, if it is, the last moment obtain
Image is effective image.
M obtained above changing value is compared with the 5th preset value, if M changing value is less than or equal to the 5th
Preset value, it is determined that the image that the last moment obtains is effective image.
It is understood that due to having been obtained for desired effective image, and by the effective image and Prototype drawing of acquisition
As being contrasted, therefore, after the image of acquisition and template image are contrasted, fingerprint sensor can stop acquisition figure
Picture.
For back touching type fingerprint sensor (i.e.：Fingerprint sensor be located at mobile terminal the back side), user when in use,
Finger is moved upward to below fingerprint sensor realize and finger is placed on fingerprint sensor by custom, therefore, with
When finger is not completely placed on fingerprint sensor by family, the pixel of the lower zone in the image that fingerprint sensor is obtained
Quantity is more, the negligible amounts of the pixel of upper area, in addition, user movement finger during, pixel quantity compared with
The area of many lower zones is increasing；The area of the less upper area of pixel quantity is less and less, when user is by hand
When finger is completely placed on fingerprint sensor and stops moving, the variable quantity and picture of the more lower zone area of pixel quantity
The variable quantity of the upper area area of vegetarian refreshments negligible amounts is almost 0.In such scheme, when the nethermost row of the image of acquisition is
During last column, due to M rows to last column pixel it is equal in number in or more than corresponding line it is corresponding 4th preset
Value, therefore, during image is obtained, the quantity of the pixel of the lower zone of the image of acquisition is more, upper area
The negligible amounts of pixel；If M changing value is less than or equal to the 5th preset value, pixels illustrated in the 3rd preset time period
The variable quantity of a fairly large number of lower zone area of point and the variable quantity of the less upper area area of pixel quantity are smaller,
Now, the image of acquisition relatively stablize, be the complete image of fingerprint (i.e.：Effective image).Therefore, the embodiment of the present invention four is provided
The recognition methods of fingerprint is adapted to the fingerprint sensor of back touching type.
The recognition methods for the fingerprint that the embodiment of the present invention three is provided is that the value based on N is judged the image of acquisition；This
The recognition methods for the fingerprint that inventive embodiments four are provided is that the value based on M is judged the image of acquisition.It should be noted that
When whether the image for judging to obtain includes effective image, N value can be combined and M value is judged it, i.e.,：Continuously obtain
Take after image, according to the quantity of the often capable pixel in the predeterminable area for the image for calculating obtained acquisition of each moment simultaneously
It is determined that the value of the X in the image of each moment acquisition, wherein, the first row is respectively less than or is equal to the quantity of the pixel of X rows
The corresponding X of corresponding line1Preset value；X rows to last column pixel it is equal in number in or more than corresponding line it is corresponding
X2Preset value, then calculates the changing value of X in preset time period, finally judges whether X changing value is less than X3Preset value,
If it is, the image obtained includes effective image.
Embodiment five
Fig. 5 is the schematic flow sheet of the recognition methods for the fingerprint that the embodiment of the present invention five is provided, and the present embodiment five is with above-mentioned
Optimized based on embodiment one, in the present embodiment five, the quantity for the pixel that the basis in step 103 is often gone judges
The image of acquisition is optimized for after whether including effective image：Also include scheming if it is not, then reacquiring using fingerprint sensor
Picture.As shown in figure 5, this method includes：
Step 501, utilize fingerprint sensor obtain image.
The quantity of step 502, the often capable pixel calculated in the predeterminable area of the image obtained.
The quantity of the often capable pixel of step 503, basis judges whether the image obtained includes effective image, if it is,
Then perform step 504, contrasted the effective image and template image of acquisition；If it is not, then performing step 505, using referring to
Line sensor reacquires image.
On the basis of embodiment one, via such scheme, when the image of acquisition is not effective image, passed using fingerprint
Sensor is reacquired to image, in user because the Zone Full of finger is not placed on fingerprint sensor by maloperation
When, user need not lift finger the reacquisition for being placed on image can be achieved on fingerprint sensor again.
Embodiment six
Fig. 6 be the embodiment of the present invention six provide fingerprint identifying device structural representation, the device can by software and/
Or hardware is realized, is typically integrated in mobile terminal, can both be brought just to user by performing the recognition methods of fingerprint to realize
Profit, saves the resource of mobile terminal again.As shown in fig. 6, the device includes：Image collection module 601, pixel quantity calculate mould
Block 602 and judge module 603.
Wherein, image collection module 601, for obtaining image using fingerprint sensor；Pixel quantity computing module
602, the quantity of the pixel often gone in predeterminable area for calculating the image obtained；Judge module 603, for according to every
The quantity of capable pixel judges whether the image obtained includes effective image, if it is, by the effective image and mould of acquisition
Plate image is contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not entered
Row contrast, but the quantity of the often capable pixel in the predeterminable area of the image obtained using fingerprint sensor is calculated, and root
Judge whether the image obtained includes effective image according to the quantity of the pixel of every row, only when the image of acquisition includes effectively figure
During picture, the effective image of acquisition and template image can just be contrasted, so as to avoid not referring to for fingerprint sensor acquisition
Fingerprint recognition fails caused by the complete image of line, so that the problem of being made troubles to user；Fingerprint sensor is it also avoid to obtain
Take be not fingerprint image caused by mobile terminal resource the problem of waste, and then can bring advantage to the user and save money
Source.
Preferably, judge module 603 can include：First judging unit, for judging that the quantity of often capable pixel is
It is no to be more than or equal to corresponding first preset value of corresponding line, if it is, the image obtained includes effective image.
Preferably, image collection module 601 can include：Image acquisition unit, for using fingerprint sensor at interval of
First preset time period obtains an image；Pixel quantity computing module 602 can include：Pixel quantity computing unit,
The quantity of often capable pixel in predeterminable area for calculating the image that each moment fingerprint sensor is obtained.
Preferably, judge module 603 can include：First determining unit, the first computing unit and the second judging unit.
Wherein, the first determining unit, the value for determining the N in the image that each moment fingerprint sensor is obtained, wherein,
The first row is respectively less than or the second preset value corresponding equal to corresponding line to the quantity of the pixel of Nth row；First computing unit, is used
In the changing value for calculating N in the second preset time period, wherein, the second preset time period is more than the first preset time period；Second sentences
Disconnected unit, for judging whether N changing value is less than or equal to the 3rd preset value, if it is, determining what the last moment obtained
Image is effective image.
Preferably, judge module 603 can include：Second determining unit, the second computing unit and the 3rd judging unit.
Wherein, the second determining unit, the value for determining the M in the image that each moment fingerprint sensor is obtained, wherein,
M rows to last column pixel it is equal in number in or more than corresponding 4th preset value of corresponding line；Second computing unit,
Changing value for calculating M in the 3rd preset time period, wherein, the 3rd preset time period is more than the first preset time period；3rd
Judging unit, for judging whether M changing value is less than or equal to the 5th preset value, if it is, the figure that the last moment obtains
As being effective image.
Preferably, the device can also include：Judge module is pressed, for judging whether fingerprint sensor is pressed, such as
Fruit is then to obtain image using fingerprint sensor.
Preferably, judge module is additionally operable to if it is not, then reacquiring image using fingerprint sensor.
Preferably, predeterminable area for obtain image whole region or acquisition image fringe region.
Said apparatus can perform the recognition methods for the fingerprint that the embodiment of the present invention one is provided to embodiment five, possess execution
The corresponding functional module of the above method and beneficial effect.Not ins and outs of detailed description in the present embodiment, reference can be made to this hair
The recognition methods for the fingerprint that bright embodiment one is provided to embodiment five.
In addition, the embodiment of the present invention additionally provides a kind of mobile terminal, including the fingerprint that the embodiment of the present invention six is provided
Identifying device, be able to carry out the recognition methods for the fingerprint that the embodiment of the present invention one is provided to embodiment five.The present invention is implemented
The mobile terminal that example is provided, after fingerprint sensor obtains image, not directly by the image of acquisition and template image progress pair
Than, but the quantity of the often capable pixel in the predeterminable area of the image obtained using fingerprint sensor is calculated, and according to every
The quantity of capable pixel judges whether the image obtained includes effective image, only when the image of acquisition includes effective image
When, the effective image of acquisition and template image can just be contrasted, so that avoid fingerprint sensor acquisition is not fingerprint
Complete image caused by fingerprint recognition fail so that the problem of being made troubles to user；It it also avoid fingerprint sensor acquisition
Be not fingerprint image caused by mobile terminal resource the problem of waste, and then can bring advantage to the user and save money
Source.
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 it is various it is obvious change,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out 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 more equivalent embodiments 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 methods of fingerprint, it is characterised in that including：
Using the fingerprint sensor image is obtained at interval of the first preset time period；
Calculate the quantity of the often capable pixel in the predeterminable area for the image that fingerprint sensor described in each moment is obtained；
Whether the image for judging the acquisition according to the quantity of the often capable pixel includes effective image, if it is, will
The effective image of the acquisition is contrasted with template image.
2. according to the method described in claim 1, it is characterised in that obtained according to judging the quantity of the often capable pixel
Whether the image taken includes comprising effective image：
Judge whether the quantity of the often capable pixel is more than or equal to corresponding first preset value of corresponding line, if it is,
The image of the acquisition includes effective image.
3. according to the method described in claim 1, it is characterised in that obtained according to judging the quantity of the often capable pixel
Whether the image taken includes comprising effective image：
It is determined that the value of the N in the image that fingerprint sensor described in each moment is obtained, wherein, the pixel of the first row to Nth row
Quantity be respectively less than or the second preset value corresponding equal to corresponding line；
The changing value of N in the second preset time period is calculated, wherein, second preset time period is more than first preset time
Section；
Judge whether N changing value is less than or equal to the 3rd preset value, if it is, determining the image of last moment acquisition to have
Imitate image.
4. according to the method described in claim 1, it is characterised in that obtained according to judging the quantity of the often capable pixel
Whether the image taken includes comprising effective image：
It is determined that the value of the M in the image that fingerprint sensor described in each moment is obtained, wherein, the pixel of M rows to last column
That puts is equal in number in or more than corresponding 4th preset value of corresponding line；
The changing value of M in the 3rd preset time period is calculated, wherein, the 3rd preset time period is more than first preset time
Section；
Judge whether M changing value is less than or equal to the 5th preset value, if it is, the image that the last moment obtains is effectively figure
Picture.
5. according to the method described in claim 1, it is characterised in that before fingerprint sensor acquisition image, methods described
Also include：
Judge whether the fingerprint sensor is pressed, if it is, obtaining image using fingerprint sensor.
6. the method according to any one of claim 1-5, it is characterised in that judged according to the quantity of the pixel of every row
Whether the image of the acquisition is included after effective image, and methods described also includes：
If it is not, then reacquiring image using the fingerprint sensor.
7. the method according to any one of claim 1-5, it is characterised in that the predeterminable area is the figure of the acquisition
The fringe region of the whole region of picture or the image of the acquisition.
8. a kind of identifying device of fingerprint, it is characterised in that including：
Image collection module, including：Image acquisition unit, for utilizing the fingerprint sensor at interval of the first preset time period
Obtain an image；
Pixel quantity computing module, including：Pixel quantity computing unit, for calculating fingerprint sensor described in each moment
The quantity of often capable pixel in the predeterminable area of the image of acquisition；
Judge module, for judging whether the image of the acquisition includes effectively figure according to the quantity of the often capable pixel
Picture, if it is, the effective image of the acquisition and template image are contrasted.
9. device according to claim 8, it is characterised in that the judge module includes：
First judging unit, for judging whether the quantity of the often capable pixel is more than or equal to corresponding line corresponding first
Preset value, if it is, the image of the acquisition includes effective image.
10. device according to claim 8, it is characterised in that the judge module includes：
First determining unit, the value for determining the N in the image that fingerprint sensor described in each moment is obtained, wherein, first
The quantity of row to the pixel of Nth row is respectively less than or the second preset value corresponding equal to corresponding line；
First computing unit, the changing value for calculating N in the second preset time period, wherein, second preset time period is big
In first preset time period；
Second judging unit, for judging whether N changing value is less than or equal to the 3rd preset value, if it is, determining last
The image that moment obtains is effective image.
11. device according to claim 8, it is characterised in that the judge module includes：
Second determining unit, the value for determining the M in the image that fingerprint sensor described in each moment is obtained, wherein, M rows
To last column pixel it is equal in number in or more than corresponding 4th preset value of corresponding line；
Second computing unit, the changing value for calculating M in the 3rd preset time period, wherein, the 3rd preset time period is big
In first preset time period；
3rd judging unit, for judging whether M changing value is less than or equal to the 5th preset value, if it is, the last moment
The image of acquisition is effective image.
12. device according to claim 8, it is characterised in that also include：
Judge module is pressed, for judging whether the fingerprint sensor is pressed, if it is, being obtained using fingerprint sensor
Image.
13. the device according to any one of claim 8-12, it is characterised in that if the judge module is additionally operable to
It is no, then reacquire image using the fingerprint sensor.
14. the device according to any one of claim 8-12, it is characterised in that the predeterminable area is the acquisition
The fringe region of the whole region of image or the image of the acquisition.
15. a kind of mobile terminal, it is characterised in that including the device any one of claim 8-14.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510681120.7A CN105303175B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methods of fingerprint, device and mobile terminal |
| PCT/CN2016/093747 WO2017067288A1 (en) | 2015-10-19 | 2016-08-05 | Fingerprint recognition method and apparatus, and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510681120.7A CN105303175B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methods of fingerprint, device and mobile terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105303175A CN105303175A (en) | 2016-02-03 |
| CN105303175B true CN105303175B (en) | 2017-10-20 |
Family
ID=55200419
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510681120.7A Active CN105303175B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methods of fingerprint, device and mobile terminal |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105303175B (en) |
| WO (1) | WO2017067288A1 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105303175B (en) * | 2015-10-19 | 2017-10-20 | 广东欧珀移动通信有限公司 | A kind of recognition methods of fingerprint, device and mobile terminal |
| CN105260722B (en) * | 2015-10-19 | 2017-02-15 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device, and mobile terminal |
| CN108235750B (en) * | 2018-01-15 | 2021-06-11 | 深圳市汇顶科技股份有限公司 | Press detection method and device of fingerprint identification system and terminal equipment |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3535494B2 (en) * | 2001-12-25 | 2004-06-07 | エヌティティエレクトロニクス株式会社 | Fingerprint image determination device and program |
| WO2006099682A1 (en) * | 2005-03-24 | 2006-09-28 | Bio Recognition Systems Pty Ltd | Resource effective image processing system |
| JP4466707B2 (en) * | 2007-09-27 | 2010-05-26 | ミツミ電機株式会社 | Finger separation detection device, finger separation detection method, fingerprint reading device using the same, and fingerprint reading method |
| CN101631023B (en) * | 2009-07-31 | 2011-08-17 | 北京飞天诚信科技有限公司 | Method for authenticating identity and system thereof |
| CN102054161B (en) * | 2009-11-02 | 2013-09-11 | 纬创资通股份有限公司 | Fingerprint image inspection method |
| US9349152B2 (en) * | 2012-10-02 | 2016-05-24 | Simetricka Systems Ltd. | Image identifiers and methods and systems of presenting image identifiers |
| CN104834850A (en) * | 2015-04-15 | 2015-08-12 | 何邦君 | Fingerprint button device and control method adopting fingerprint button device |
| 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 |
| CN105303175B (en) * | 2015-10-19 | 2017-10-20 | 广东欧珀移动通信有限公司 | A kind of recognition methods of fingerprint, device and mobile 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 |
| CN105260722B (en) * | 2015-10-19 | 2017-02-15 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device, and mobile terminal |
-
2015
- 2015-10-19 CN CN201510681120.7A patent/CN105303175B/en active Active
-
2016
- 2016-08-05 WO PCT/CN2016/093747 patent/WO2017067288A1/en active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017067288A1 (en) | 2017-04-27 |
| CN105303175A (en) | 2016-02-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105243369B (en) | A kind of recognition methodss of fingerprint, device and mobile terminal | |
| CN105993021B (en) | Registered using the fingerprint of touch sensing data | |
| KR101773030B1 (en) | Method of controlling an electronic device | |
| US9349035B1 (en) | Multi-factor authentication sensor for providing improved identification | |
| US10209885B2 (en) | Method and device for building virtual keyboard | |
| US8543833B2 (en) | User identification with biokinematic input | |
| US20120127179A1 (en) | Method, apparatus and computer program product for user interface | |
| US9953183B2 (en) | User verification using touch and eye tracking | |
| US20160125223A1 (en) | Electronic device including multiple speed and multiple accuracy finger biometric matching and related methods | |
| CN105095720A (en) | Fingerprint recognition system and method and display device | |
| CN105303175B (en) | A kind of recognition methods of fingerprint, device and mobile terminal | |
| CN105260722B (en) | Fingerprint identification method and device, and mobile terminal | |
| CN104866226B (en) | A kind of terminal device and its control method | |
| JP5851209B2 (en) | Biometric authentication apparatus and automatic transaction apparatus including the same | |
| JP2013140440A (en) | Information processing device and driving method for the same, control program and readable storage medium | |
| CN105824521A (en) | Application operation method and mobile terminal | |
| WO2016188484A1 (en) | Method and system for unlocking screen according to fingerprints, and mobile terminal | |
| CN105930076B (en) | The display methods of mobile communication terminal and its hiding selected object | |
| CN105094874A (en) | Application starting method and system | |
| CN107272949A (en) | Method of controlling operation thereof and device, computer installation and storage medium | |
| CN105426091B (en) | Method and terminal for controlling black screen gesture processing | |
| Ritter et al. | Miba: Multitouch image-based authentication on smartphones | |
| CN104598786A (en) | Password inputting method and device | |
| CN111382404B (en) | Fingerprint false touch prevention method, system, terminal equipment and readable storage medium | |
| JP2018128785A (en) | Biometric authentication apparatus, biometric authentication method, and biometric authentication program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
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. |