CN105912916B - A kind of unlocked by fingerprint method and terminal - Google Patents
A kind of unlocked by fingerprint method and terminal Download PDFInfo
- Publication number
- CN105912916B CN105912916B CN201610368931.6A CN201610368931A CN105912916B CN 105912916 B CN105912916 B CN 105912916B CN 201610368931 A CN201610368931 A CN 201610368931A CN 105912916 B CN105912916 B CN 105912916B
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- Prior art keywords
- fingerprint
- fingerprint image
- area
- image
- template
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- 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
Abstract
The embodiment of the invention discloses a kind of unlocked by fingerprint method and terminal, the realization of wherein method includes：Obtain fingerprint image；The direction of the fingerprint image and preset fingerprint template is adjusted to unanimously；Determine the first center of the fingerprint image and the second center of the preset fingerprint template；The fingerprint image is divided into by multiple first areas based on first center and the first partitioned mode, and the preset fingerprint template is divided into by multiple second areas based on second center and first partitioned mode；And be about to the multiple first area and matched with the multiple second area；When the match is successful for the multiple first area and the multiple second area, terminal is unlocked.Implement the embodiment of the present invention, it is possible to reduce the fingerprint matching time, lifting unblock efficiency.
Description
Technical field
The present invention relates to technical field of electronic equipment, more particularly to a kind of unlocked by fingerprint method and terminal.
Background technology
With the fast development of information technology, the use of terminal (such as mobile phone, tablet personal computer) is increasingly popularized.Fingerprint
Identification technology is as the standard configuration technology in terminal, and fingerprint identification technology can be not only used for the unblock, wake-up, mobile payment of terminal
Etc. in be used widely.While fingerprint identification technology is popular, in order to realize quick release, the unlocked time of terminal
It is the direct concern of terminal manufacturer.
In practical application, user is often, it can be seen that in finger overdrying or overly moist, it is necessary to repeatedly press fingerprint recognition mould
Group, is possible to unlock successfully, thus, reduce unlocked by fingerprint efficiency.
The content of the invention
The embodiments of the invention provide a kind of unlocked by fingerprint method and terminal, the fingerprint matching time can be reduced, lifting solution
Lock efficiency.
The embodiment of the invention discloses a kind of unlocked by fingerprint method, including：
Obtain fingerprint image；
The direction of the fingerprint image and preset fingerprint template is adjusted to unanimously；
Determine the first center of the fingerprint image and the second center of the preset fingerprint template；
The fingerprint image is divided into by multiple first areas based on first center and the first partitioned mode, and based on institute
State the second center and the preset fingerprint template is divided into multiple second areas by first partitioned mode；
And be about to the multiple first area and matched with the multiple second area；
When the match is successful for the multiple first area and the multiple second area, terminal is unlocked.
As an alternative embodiment, the direction by the fingerprint image and preset fingerprint template is adjusted to one
Cause, including：
Extract the multiple fisrt feature of preset fingerprint template；
Extract multiple second feature of the fingerprint image；
Matching degree highest first object feature and the second target signature are determined, wherein, the first object is characterized as institute
One in multiple fisrt feature is stated, second target signature is one in the multiple second feature；
According to the direction of the first object feature and the direction of second target signature, by the fingerprint image and institute
The direction for stating preset fingerprint template is adjusted to unanimously.
As an alternative embodiment, the multiple fisrt feature extracted in the preset fingerprint template, including：
The preset fingerprint template is divided into multiple regions；
A fisrt feature is at least selected from each region in the multiple region.
As an alternative embodiment, described and be about to the multiple first area and enter with the multiple second area
Row matching, including：
And it is about to each first area in the multiple first area and corresponding the multiple second area
The second area is matched.
As an alternative embodiment, it is described acquisition fingerprint image after, and it is described by the fingerprint image with
Before the direction of preset fingerprint template is adjusted to unanimously, methods described also includes：
Judge whether the fingerprint image is the image of wet finger, if so, then performing described by the fingerprint image and pre-
If the direction of fingerprint template is adjusted to consistent step.
As an alternative embodiment, it is described judge the fingerprint image whether be dry finger image or wet hand
The image of finger, including：
Extract the characteristic point of the fingerprint image；
Judge whether the number of the characteristic point of the fingerprint image is less than the first predetermined threshold value, if, it is determined that it is described to refer to
Print image is the image of the dry finger or the image of the wet finger.
As an alternative embodiment, the acquisition fingerprint image, including：
When user presses fingerprint recognition module, the pickup area of the fingerprint recognition module is determined；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in the pickup area, passes through institute
N1 abnormal induction electrode for stating pickup area obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value
It is the fingerprint image with the n2 normal bottom data values, the induction electrode array of the fingerprint recognition module at least includes
Described n1 abnormal induction electrode and the n2 normal induction electrode, the n1, the n2 are positive integer；
The n2 normal bottom data values collected according to the n2 normal induction electrode of the fingerprint recognition module,
Determine the corresponding n1 bottom repair data value of the n1 exception induction electrode；
According to the n2 normal bottom data values and n1 bottom repair data value generation fingerprint image.
Alternatively, the n2 normal induction electrode according to the fingerprint recognition module is collected n2 are normal
Bottom data value, determines the corresponding n1 bottom repair data value of the n1 exception induction electrode, including：
The pickup area is divided into multiple isolated areas, wherein, each isolated area is equal in the multiple isolated area
Comprising multiple normal bottom data values gathered by the normal induction electrode with least one by the abnormal induced electricity
The abnormal bottom data value of pole collection；
The average of all normal bottom data values in the isolated area i is determined, and regard the average as institute
The corresponding bottom repair data value of the abnormal induction electrode in isolated area i is stated, wherein the isolated area i is described many
Any one in individual isolated area.
Correspondingly, the embodiment of the invention also discloses a kind of terminal, including：
Acquiring unit, for obtaining fingerprint image；
Adjustment unit, the fingerprint image and the direction of preset fingerprint template for the acquiring unit to be obtained are adjusted to
Unanimously；
Determining unit, for determining the first center of the fingerprint image and the second center of the preset fingerprint template；
Blocking unit, is referred to for first center determined based on the determining unit and the first partitioned mode by described
Print image is divided into multiple first areas, and second center determined based on the determining unit and first partitioned mode
The preset fingerprint template is divided into multiple second areas；
Matching unit, is used to and is about to the multiple first area being matched with the multiple second area；
Unlocking unit, for when the match is successful for the multiple first area and the multiple second area, entering to terminal
Row unblock.
As an alternative embodiment, the adjustment unit includes：
First extraction module, for extracting the multiple fisrt feature of preset fingerprint template；
First extraction module, also particularly useful for：
Extract multiple second feature of the fingerprint image；
Determining module, for determining matching degree highest first object feature and the second target signature, wherein, described first
Target signature is one in the multiple fisrt feature, and second target signature is one in the multiple second feature
It is individual；
Adjusting module, for the direction according to the first object feature and the direction of second target signature, by institute
State fingerprint image and the direction of the preset fingerprint template is adjusted to unanimously.
As an alternative embodiment, first extraction module includes：
Piecemeal module, for the preset fingerprint template to be divided into multiple regions；
Module is chosen, at least selecting a fisrt feature from each region in the multiple region.
As an alternative embodiment, the matching unit specifically for：
And it is about to each first area in the multiple first area and corresponding the multiple second area
The second area is matched.
As an alternative embodiment, the terminal also includes：
Judging unit, for whether before the acquiring unit obtains fingerprint image, it to be dry to judge the fingerprint image
The image of wet finger, if the judged result of the judging unit is yes, by the adjustment unit by the fingerprint image and in advance
If the direction of fingerprint template is adjusted to unanimously.
As an alternative embodiment, the judging unit includes：
Second extraction module, the characteristic point for extracting the fingerprint image；
Judge module, for judging whether the number of characteristic point of the fingerprint image is less than the first predetermined threshold value, if so,
It is the image of the dry finger or the image of the wet finger then to determine the fingerprint image.
As an alternative embodiment, the acquiring unit includes：
4th determining module, for when user presses fingerprint recognition module, determining the collection of the fingerprint recognition module
Region；
First acquisition module, described n2 normal bottom is obtained by n2 normal induction electrode in the pickup area
Data value, described n1 abnormal bottom data value, the n1 are obtained by n1 abnormal induction electrode of the pickup area
Abnormal bottom data value and the n2 normal bottom data values are the fingerprint image, the induced electricity of the fingerprint recognition module
Pole array at least includes described n1 abnormal induction electrode and the n2 normal induction electrode, and the n1, the n2 are just whole
Number；
Repair module, the n2 for being collected according to the n2 normal induction electrode of the fingerprint recognition module is individual just
Normal bottom data value, determines the corresponding n1 bottom repair data value of the n1 exception induction electrode；
Generation module, for being referred to according to the n2 normal bottom data values and n1 bottom repair data value generation
Print image.
Alternatively, the repair module includes：
Piecemeal module, for the pickup area to be divided into multiple isolated areas, wherein, it is every in the multiple isolated area
One isolated area is comprising multiple normal bottom data values gathered by the normal induction electrode with least one by institute
State the abnormal bottom data value of abnormal induction electrode collection；
5th determining module, the average for determining all normal bottom data values in the isolated area i, and
Using the average as the corresponding bottom repair data value of the abnormal induction electrode in the isolated area i, wherein described
Isolated area i is any one in the multiple isolated area.
The third aspect of the embodiment of the present invention additionally provides a kind of terminal, including：
Processor, memory, communication interface, fingerprint recognition module and communication bus, the processor, the memory,
The fingerprint recognition module and the communication interface are connected by the communication bus and complete mutual communication；
The memory storage has executable program code, and the fingerprint recognition module is used to obtain fingerprint image, described
Communication interface is used for radio communication；
The processor is used to call the executable program code in the memory, performs the embodiment of the present invention and carries
Method described in any one of confession.
The third aspect of the embodiment of the present invention additionally provides a kind of terminal, including：
Processor, memory, communication interface, fingerprint recognition module and communication bus, the processor, the memory,
The fingerprint recognition module and the communication interface are connected by the communication bus and complete mutual communication；
The memory storage has executable program code, and the fingerprint recognition module is used to obtain fingerprint image, described
Communication interface is used for radio communication；
The processor is used to call the executable program code in the memory, performs the embodiment of the present invention and carries
The part or all of step of the first aspect of confession.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below：By by fingerprint image with it is default
The direction of fingerprint template is adjusted to unanimously, determines the first center of fingerprint image and the second center of preset fingerprint template, based on
Fingerprint image is divided into multiple first areas by one center and the first partitioned mode, and is incited somebody to action based on the second center and the first partitioned mode
Preset fingerprint template is divided into multiple second areas, then and is about to above-mentioned multiple first areas and is carried out with above-mentioned multiple second areas
Matching, when the match is successful, is unlocked to terminal.The fingerprint matching time can be reduced, lifting unblock efficiency.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below by using required in embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of the first embodiment of unlocked by fingerprint method disclosed in the embodiment of the present invention；
Fig. 2 is a kind of schematic flow sheet of the second embodiment of unlocked by fingerprint method disclosed in the embodiment of the present invention；
Fig. 3 a are a kind of structural representations of the first embodiment of terminal disclosed in the embodiment of the present invention；
Fig. 3 b are the structural representations of the adjustment unit of the terminal described in Fig. 3 a disclosed in the embodiment of the present invention；
Fig. 3 c are a kind of another structural representations of the first embodiment of terminal disclosed in the embodiment of the present invention；
Fig. 3 d are the structural representations of the judging unit of the terminal described in Fig. 3 c disclosed in the embodiment of the present invention；
Fig. 4 is a kind of structural representation of the second embodiment of terminal disclosed in the embodiment of the present invention；
Fig. 5 is a kind of structural representation of mobile phone disclosed in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " in description and claims of this specification and the accompanying drawing and "
Four " etc. be to be used to distinguish different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that covering non-exclusive is included.For example contain the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but the step of alternatively also include not listing or list
Member, or alternatively also include for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can be wrapped in conjunction with the embodiments
In at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Terminal described by the embodiment of the present invention can include smart mobile phone (such as Android phone, iOS mobile phones,
Windows Phone mobile phones etc.), tablet personal computer, palm PC, notebook computer, mobile internet device (MID, Mobile
Internet Devices) or Wearable etc., above-mentioned terminal is only citing, and non exhaustive, including but not limited to above-mentioned end
End.
Referring to Fig. 1, being a kind of first embodiment schematic flow sheet of unlocked by fingerprint method provided in an embodiment of the present invention.
Unlocked by fingerprint method described in the present embodiment, comprises the following steps：
101st, fingerprint image is obtained.
In the specific implementation, during user's pressing fingerprint recognition module, the partial fingerprints or complete of user can be gathered
Portion's fingerprint is used as fingerprint image.
Alternatively, fingerprint image can be the fingerprint image gathered during user presses fingerprint recognition module, or,
It can be the fingerprint image in being stored in locally.
Still optionally further, fingerprint image can be the fingerprint image or the fingerprint image of multiple fingers of the finger of user
Picture.
Alternatively, during user's pressing fingerprint recognition module, it may be determined that user presses the fingerprint recognition module
Effective range；Fingerprint recognition module is controlled to gather the pixel in the effective range as fingerprint image.Further, it can examine
Survey the pressing dynamics that user contacts each collection point in the fingerprint recognition module；Will be big in the pressing dynamics of each collection point
It is defined as effective range in the collection point of a certain threshold value.Fingerprint recognition module and pressure sensor can be combined together, that
, when fingerprint recognition module is pressed, can be detected by pressure sensor each collection point in fingerprint recognition module by
Surging, it is fingerprint image more than the image that the collection point of a certain threshold value is constituted to determine pressing dynamics.
Alternatively, the mode of above-mentioned acquisition fingerprint image can also be as follows：
When user presses fingerprint recognition module, the pickup area of the fingerprint recognition module is determined；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in the pickup area, passes through institute
N1 abnormal induction electrode for stating pickup area obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value
It is the fingerprint image with the n2 normal bottom data values, the induction electrode array of the fingerprint recognition module at least includes
Described n1 abnormal induction electrode and the n2 normal induction electrode, the n1, the n2 are positive integer；
The n2 normal bottom numbers collected according to the n2 normal induction electrode of the fingerprint recognition module
According to value, the corresponding n1 bottom repair data value of the n1 exception induction electrode is determined；
According to the n2 normal bottom data values and n1 bottom repair data value generation fingerprint image.
Alternatively, the n2 normal induction electrode according to the fingerprint recognition module is collected the n2
Normal bottom data value, determines the corresponding n1 bottom repair data value of the n1 exception induction electrode, can be：
The pickup area is divided into multiple isolated areas, wherein, each isolated area is equal in the multiple isolated area
Comprising multiple normal bottom data values gathered by the normal induction electrode with least one by the abnormal induced electricity
The abnormal bottom data value of pole collection；
The average of all normal bottom data values in the isolated area i is determined, and regard the average as institute
The corresponding bottom repair data value of the abnormal induction electrode in isolated area i is stated, wherein the isolated area i is described many
Any one in individual isolated area.By this way, using the normal bottom of the normal induction electrode in any isolated area
Data value goes to repair the abnormal bottom data value in the isolated area so that so that fingerprint image quality more preferably, in this way, can be
More characteristic points are extracted in fingerprint image.
Alternatively, fingerprint image can be the fingerprint image sent from other equipment.
102nd, the direction of the fingerprint image and preset fingerprint template is adjusted to unanimously.
In the specific implementation, can be on the basis of one in fingerprint image or preset fingerprint template, will using affine transformation
Fingerprint image and the direction of preset fingerprint template are adjusted to unanimously.
Alternatively, the multiple fisrt feature of preset fingerprint template are extracted；Extract the fingerprint image multiple second are special
Levy；Matching degree highest first object feature and the second target signature are determined, wherein, the first object is characterized as the multiple
One in fisrt feature, second target signature is one in the multiple second feature；According to the first object
The direction of feature and the direction of second target signature, the fingerprint image and the direction of the preset fingerprint template are adjusted to
Unanimously.Wherein, multiple features of preset fingerprint template can be characteristic point or feature contour.Preferably, above-mentioned multiple features
Can be the invariant feature in preset fingerprint template, invariant feature can be regarded as being used as matching in the matching process and the match is successful
The more feature of number of times, or, invariant feature can be that can be used for the uniquely tagged preset fingerprint template in preset fingerprint template
Feature, or, invariant feature can be preset fingerprint template in highlight feature.Under normal circumstances, feature is respectively provided with size and side
To, for by characteristic point, extracted using scale invariant feature (Scale Invariant Feature Transform,
SIFT) characteristic point to preset fingerprint template extraction just has size and Orientation.Can be using the feature as preset fingerprint template
Extraction algorithm takes the fingerprint the feature in image.Feature extraction can be carried out to preset fingerprint template and fingerprint image respectively, then,
The feature of the fingerprint image of extraction is matched with preset fingerprint template.Alternatively, can also be respectively to preset fingerprint template
Feature extraction is carried out with fingerprint image, then, the feature of feature and/or fingerprint image to preset fingerprint template is screened,
After screening, remaining feature will be screened in fingerprint image and is matched with screening remaining feature in preset fingerprint template, can be carried
High matching efficiency, the second target signature in the first object feature in obtaining multiple fisrt feature and multiple second feature
Timing, can be according to the direction and the direction of the second target signature of the first object feature, by fingerprint image and preset fingerprint template
Direction be adjusted to unanimously.
103rd, the first center of the fingerprint image and the second center of the preset fingerprint template are determined.
In the specific implementation, can determine that center or the center of gravity of fingerprint image, the center or center of gravity are regard as fingerprint image
The first center, similarly, determine center or the center of gravity of preset fingerprint template, regard the center or center of gravity as preset fingerprint mould
Second center of plate.
Alternatively, can using the center of the position where above-mentioned first object feature as the center of preset fingerprint template, and,
It regard the position where the second target signature as the center of fingerprint image.
104th, the fingerprint image is divided into by multiple first areas, and base based on first center and the first partitioned mode
The preset fingerprint template is divided into multiple second areas in second center and first partitioned mode.
In the specific implementation, fingerprint image can be divided into using the first partitioned mode according to the first center of fingerprint image
Multiple first areas, and the second center based on preset fingerprint template, are divided preset fingerprint template using the first partitioned mode
For multiple second areas.
105 and it is about to the multiple first area and is matched with the multiple second area.
In the specific implementation, in a parallel mode, how many first area or how many second areas just can be used many
Few thread or process, each thread or each process can be used for a first area corresponding with the first area the
Two regions are matched.
Alternatively, multiple first areas can be divided at least two groups, and in the same way, multiple regions are also classified into
At least two groups, there is corresponding one group of second area each group of first area.How many group just can using how many threads or
Person's process, each thread or each process can be used for the one group of first area in one group of first area and this is corresponding one group second
Region is matched.
106th, when the match is successful for the multiple first area and the multiple second area, terminal is unlocked.
In the specific implementation, when the match is successful for above-mentioned multiple first areas and above-mentioned multiple second areas, can enter to terminal
Row unblock is unlocked to some application in terminal.Put out for example, being in terminal under screen state, terminal is solved
Lock, the display screen of terminal is lighted, and shows the desktop after unblock；Or, it is in terminal under bright screen state, terminal is carried out
Unblock, the desktop after display unblock；Or, it is under released state, at least one application of terminal can be carried out in terminal
Unblock, that is, start at least one application or show the default page of a certain application at least one application；Or,
Terminal, which is in, to be put out under screen state, and at least one application of terminal can be unlocked, that is, is started at least one application or opened up
Show the default page of a certain application at least one application.
As can be seen that by the way that the direction of fingerprint image and preset fingerprint template is adjusted to unanimously, the of fingerprint image is determined
One center and the second center of preset fingerprint template, are divided into multiple based on the first center and the first partitioned mode by fingerprint image
One region, and preset fingerprint template is divided into multiple second areas based on the second center and the first partitioned mode, then and is about to
Above-mentioned multiple first areas are matched with above-mentioned multiple second areas, and when the match is successful, terminal is unlocked.It can subtract
Oligodactyly line match time, lifting unblock efficiency.
Referring to Fig. 2, being a kind of second embodiment schematic flow sheet of unlocked by fingerprint method provided in an embodiment of the present invention.
Unlocked by fingerprint method described in the present embodiment, comprises the following steps：
201st, fingerprint image is obtained.
Whether the 202nd, judge the fingerprint image is the image of dry finger or the image of wet finger.
In the specific implementation, and the fingerprint image of wet finger due to the fingerprint lines in the fingerprint image of dry finger intermittently
The fingerprint image larger area fingerprint lines obfuscation of picture, is almost hard to tell fingerprint lines, thus, can be by entering to fingerprint image
Row analysis, judges whether fingerprint image comes from dry finger or wet finger.
Alternatively, can by the patterned feature of the image that takes the fingerprint, with judge fingerprint image whether come from dry finger or
The wet finger of person.If intermittently, the fingerprint image belongs to dry finger to the lines of fingerprint image, if occurring in fingerprint image larger
During the fingerprint lines obfuscation of area, then the fingerprint image belongs to wet finger.
Alternatively, it can extract the characteristic point of fingerprint image；Judge whether the number of the characteristic point of the fingerprint image is less than
First predetermined threshold value, if, it is determined that the fingerprint image is the image of the dry finger or the image of the wet finger.
Alternatively, it can extract the characteristic point of the subregion of fingerprint image；Judging the number of the characteristic point of fingerprint image is
It is no to be less than predetermined threshold value, if, it is determined that fingerprint image is the image of dry finger or the image of wet finger.Wherein, part area
Domain can be the designated area in fingerprint image, for example, the region of the default size by round dot of the center of fingerprint image.Part area
Domain can be the random areas in fingerprint image.Wherein, predetermined threshold value can be fixed threshold, or, predetermined threshold value can be with fingerprint image
The area of picture is related.
Alternatively, it can be judged by the number of the characteristic point for the image that takes the fingerprint by the number of characteristic point in default
Scope.Wherein, the preset range may be less than first threshold, for example, first threshold can be individual for the characteristic point of preset fingerprint image
Some several percentage, for example, 50%, or, first threshold is some value of system default.Further, the preset range
Can be between Second Threshold and the 3rd threshold value, wherein, Second Threshold be less than the 3rd threshold value, the 3rd threshold value can be preset fingerprint
Some percentage of the feature point number of image, for example, 50%, or, the 3rd threshold value is some value of system default, the second threshold
Value can be some percentage of the feature point number of preset fingerprint image, for example, 30%, or, Second Threshold is system default
Some value.Under normal conditions, the feature point number of dry finger or wet finger is less, and terminal can extract the characteristic point of fingerprint
Number, if for example, the number of this feature point be less than first threshold, illustrate the fingerprint comes from dry finger or wet hand
Refer to.
203rd, if so, the direction of the fingerprint image and preset fingerprint template is adjusted to unanimously.
Alternatively, if it is not, directly fingerprint image can then be matched with preset fingerprint template, if the match is successful, to end
End is unlocked.
204th, the first center of the fingerprint image and the second center of the preset fingerprint template are determined；
205th, the fingerprint image is divided into by multiple first areas, and base based on first center and the first partitioned mode
The preset fingerprint template is divided into multiple second areas in second center and first partitioned mode；
206 and it is about to the multiple first area and is matched with the multiple second area；
207th, when the match is successful for the multiple first area and the multiple second area, terminal is unlocked.
Wherein, step 201, and the step of step 203- steps 207 refer to the unlocked by fingerprint method described in Fig. 1
101- steps 106.
As can be seen that being dry hand in fingerprint image by the way that the direction of fingerprint image and preset fingerprint template is adjusted to unanimously
Refer to image or during wet finger-image, determine the first center of fingerprint image and the second center of preset fingerprint template, based on the
Fingerprint image is divided into multiple first areas by one center and the first partitioned mode, and is incited somebody to action based on the second center and the first partitioned mode
Preset fingerprint template is divided into multiple second areas, then and is about to above-mentioned multiple first areas and is carried out with above-mentioned multiple second areas
Matching, when the match is successful, is unlocked to terminal.The fingerprint matching time can be reduced, lifting unblock efficiency.
Fig. 3 a are referred to, are a kind of first embodiment structural representation of terminal provided in an embodiment of the present invention.This implementation
Terminal described in example, including：Acquiring unit 301, adjustment unit 302, determining unit 303, blocking unit 304, matching are single
Member 305 and unlocking unit 306, it is specific as follows：
Acquiring unit 301, for obtaining fingerprint image；
Adjustment unit 302, for the fingerprint image for obtaining the acquiring unit 301 and the side of preset fingerprint template
It is consistent to being adjusted to；
Determining unit 303, for determining in the first center of the fingerprint image and the second of the preset fingerprint template
The heart；
Blocking unit 304, will for first center determined based on the determining unit 303 and the first partitioned mode
The fingerprint image is divided into multiple first areas, and second center that is determined based on the determining unit 303 and described the
The preset fingerprint template is divided into multiple second areas by one partitioned mode；
Matching unit 305, is used to and is about to the multiple first area being matched with the multiple second area；
Unlocking unit 306, for when the match is successful for the multiple first area and the multiple second area, to terminal
It is unlocked.
Alternatively, the adjustment unit 302 of the terminal as shown in Fig. 3 b, Fig. 3 a includes：
First extraction module 3021, for extracting the multiple fisrt feature of preset fingerprint template；
First extraction module 3021, also particularly useful for：
Extract multiple second feature of the fingerprint image；
Determining module 3022, for determining matching degree highest first object feature and the second target signature, wherein, it is described
First object is characterized as one in the multiple fisrt feature, and second target signature is in the multiple second feature
One；
Adjusting module 3023, for the direction according to the first object feature and the direction of second target signature,
The direction of the fingerprint image and the preset fingerprint template is adjusted to unanimously.
Further, first extraction module 3021 includes：
Piecemeal module (is not marked) in figure, for the preset fingerprint template to be divided into multiple regions；
Module (not marked in figure) is chosen, at least being selected described in one from each region in the multiple region
Fisrt feature.
Alternatively, the matching unit 305 specifically for：
And it is about to each first area in the multiple first area and corresponding the multiple second area
The second area is matched.
Alternatively, as shown in Figure 3 c, the terminal shown in Fig. 3 a may also include：
Judging unit 307, after obtaining fingerprint image in the acquiring unit 301, judges that the fingerprint image is
No is the image of the image of dry finger or wet finger, if the judged result of the judging unit 307 is yes, by the adjustment
The direction of the fingerprint image and preset fingerprint template is adjusted to unanimously by unit 302.
Alternatively, as shown in Figure 3 d, judging unit 307 described in Fig. 3 c, including：
Second extraction module 3071, the characteristic point for extracting the fingerprint image；
Judge module 3072, for judging whether the number of characteristic point of the fingerprint image is less than the first predetermined threshold value,
If, it is determined that the fingerprint image is the image of the dry finger or the image of the wet finger.
As can be seen that the direction of fingerprint image and preset fingerprint template is adjusted by the terminal described by the embodiment of the present invention
To be consistent, the first center of fingerprint image and the second center of preset fingerprint template are determined, based on the first center and the first piecemeal
Fingerprint image is divided into multiple first areas by mode, and is divided into preset fingerprint template based on the second center and the first partitioned mode
Multiple second areas, then and are about to above-mentioned multiple first areas and are matched with above-mentioned multiple second areas, the match is successful
When, terminal is unlocked.The fingerprint matching time can be reduced, lifting unblock efficiency.
Referring to Fig. 4, being a kind of second embodiment structural representation of terminal provided in an embodiment of the present invention.The present embodiment
Described in terminal, including：At least one input equipment 1000；At least one output equipment 2000；At least one processor
3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output equipment 2000, processor 3000, memory 4000
Connected with communication interface (not marked in figure) by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely contact panel, physical button or mouse, fingerprint recognition module etc.
Deng.
Above-mentioned output equipment 2000 concretely display screen.
Above-mentioned memory 4000 can be high-speed RAM memory, or non-labile memory (non-volatile
Memory), such as magnetic disk storage.Above-mentioned memory 4000 is used to store batch processing code, above-mentioned input equipment 1000, defeated
Going out equipment 2000 and processor 3000 is used to call the program code stored in memory 4000, performs following operation：
Above-mentioned input equipment 1000 is used for：
Obtain fingerprint image；
Above-mentioned processor 3000, is used for：
The direction of the fingerprint image and preset fingerprint template is adjusted to unanimously；
Determine the first center of the fingerprint image and the second center of the preset fingerprint template；
The fingerprint image is divided into by multiple first areas based on first center and the first partitioned mode, and based on institute
State the second center and the preset fingerprint template is divided into multiple second areas by first partitioned mode；
And be about to the multiple first area and matched with the multiple second area；
When the match is successful for the multiple first area and the multiple second area, terminal is unlocked.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, for the direction of the fingerprint image and preset fingerprint template to be adjusted to unanimously, including：
Extract the multiple fisrt feature of preset fingerprint template；
Extract multiple second feature of the fingerprint image；
Matching degree highest first object feature and the second target signature are determined, wherein, the first object is characterized as institute
One in multiple fisrt feature is stated, second target signature is one in the multiple second feature；
According to the direction of the first object feature and the direction of second target signature, by the fingerprint image and institute
The direction for stating preset fingerprint template is adjusted to unanimously.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, for extracting multiple features in the preset fingerprint template, including：
The preset fingerprint template is divided into multiple regions；
A fisrt feature is at least selected from each region in the multiple region.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, is used to and is about to the multiple first area being matched with the multiple second area, including：
And it is about to each first area in the multiple first area and corresponding the multiple second area
The second area is matched.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, for after fingerprint image is obtained, and by the direction of the fingerprint image and preset fingerprint template
Before being adjusted to unanimously, including：
Whether be the image of dry finger or the image of wet finger, if so, then performing described incite somebody to action if judging the fingerprint image
The fingerprint image and the direction of preset fingerprint template are adjusted to consistent step.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, for judging whether the fingerprint image is the image of dry finger or the image of wet finger, including：
Extract the characteristic point of the fingerprint image；
Judge whether the number of the characteristic point of the fingerprint image is less than the first predetermined threshold value, if, it is determined that it is described to refer to
Print image is the image of the dry finger or the image of the wet finger.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, for obtaining fingerprint image, including：
When user presses fingerprint recognition module, the pickup area of the fingerprint recognition module is determined；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in the pickup area, passes through institute
N1 abnormal induction electrode for stating pickup area obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value
It is the fingerprint image with the n2 normal bottom data values, the induction electrode array of the fingerprint recognition module at least includes
Described n1 abnormal induction electrode and the n2 normal induction electrode, the n1, the n2 are positive integer；
The n2 normal bottom numbers collected according to the n2 normal induction electrode of the fingerprint recognition module
According to value, the corresponding n1 bottom repair data value of the n1 exception induction electrode is determined；
According to the n2 normal bottom data values and n1 bottom repair data value generation fingerprint image.
Alternatively, above-mentioned input equipment 1000, output equipment 2000 and processor 3000 are used to call in memory 4000
The program code of storage, for the n2 collected according to the n2 normal induction electrode of the fingerprint recognition module
Normal bottom data value, determines the corresponding n1 bottom repair data value of the n1 exception induction electrode, including：
The pickup area is divided into multiple isolated areas, wherein, each isolated area is equal in the multiple isolated area
Comprising multiple normal bottom data values gathered by the normal induction electrode with least one by the abnormal induced electricity
The abnormal bottom data value of pole collection；
The average of all normal bottom data values in the isolated area i is determined, and regard the average as institute
The corresponding bottom repair data value of the abnormal induction electrode in isolated area i is stated, wherein the isolated area i is described many
Any one in individual isolated area.
Fig. 5 is illustrated that the block diagram of the part-structure of the mobile phone related to terminal provided in an embodiment of the present invention.With reference to figure
5, mobile phone includes：Radio frequency (Radio Frequency, RF) circuit 510, memory 520, input block 530, display unit 540,
Sensor 550, voicefrequency circuit 560, Wireless Fidelity (wireless fidelity, WiFi) module 570, processor 580 and
The grade part of power supply 590.It will be understood by those skilled in the art that the handset structure shown in Fig. 5 does not constitute the restriction to mobile phone,
It can include than illustrating more or less parts, either combine some parts or different parts arrangement.
Each component parts of mobile phone is specifically introduced with reference to Fig. 5：
RF circuits 510 can be used for receive and send messages or communication process in, the reception and transmission of signal, especially, by base station
After downlink information is received, handled to processor 580；In addition, being sent to base station by up data are designed.Generally, RF circuits 510
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (Low Noise
Amplifier, LNA), duplexer etc..In addition, RF circuits 510 can also be communicated by radio communication with network and other equipment.
Above-mentioned radio communication can use any communication standard or agreement, including but not limited to global system for mobile communications (Global
System of Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), WCDMA
(Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution,
LTE), Email, Short Message Service (Short Messaging Service, SMS) etc..
Memory 520 can be used for storage software program and module, and processor 580 is stored in memory 520 by operation
Software program and module, so as to perform various function application and the data processing of mobile phone.Memory 520 can mainly include
Storing program area and storage data field, wherein, the application journey that storing program area can be needed for storage program area, at least one function
Sequence (such as sound-playing function, image player function etc.) etc.；Storage data field can be stored uses what is created according to mobile phone
Data (such as voice data, phone directory etc.) etc..In addition, memory 520 can include high-speed random access memory, can be with
Including nonvolatile memory, for example, at least one disk memory, flush memory device or other volatile solid-states
Part.
Input block 530 can be used for the numeral or character information for receiving input, and produce with the user of mobile phone set with
And the relevant key signals input of function control.Specifically, input block 530 may include that contact panel 531 and other inputs are set
Standby 532.Contact panel 531, also referred to as touch-screen, collecting touch operation of the user on or near it, (such as user uses
The operation of any suitable object such as finger, stylus or annex on contact panel 531 or near contact panel 531), and root
Corresponding attachment means are driven according to formula set in advance.Optionally, contact panel 531 may include touch detecting apparatus and touch
Two parts of controller.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation is brought,
Transmit a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and is converted into touching
Point coordinates, then give processor 580, and the order sent of reception processing device 580 and can be performed.Furthermore, it is possible to using electricity
The polytypes such as resistive, condenser type, infrared ray and surface acoustic wave realize contact panel 531.Except contact panel 531, input
Unit 530 can also include other input equipments 532.Specifically, other input equipments 532 can include but is not limited to secondary or physical bond
One or more in disk, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc..
Display unit 540 can be used for the various of the information that is inputted by user of display or the information for being supplied to user and mobile phone
Menu.Display unit 540 may include display panel 541, optionally, can use liquid crystal display (Liquid Crystal
Display, LCD), the form such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) it is aobvious to configure
Show panel 541.Further, contact panel 531 can cover display panel 541, when contact panel 531 is detected thereon or attached
After near touch operation, processor 580 is sent to determine the type of touch event, with preprocessor 580 according to touch event
Type corresponding visual output is provided on display panel 541.Although in Figure 5, contact panel 531 and display panel 541
It is input and the input function that mobile phone is realized as two independent parts, but in some embodiments it is possible to by touch-control
Panel 531 and the input that is integrated and realizing mobile phone of display panel 541 and output function.
Mobile phone may also include at least one sensor 550, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to ambient light
Light and shade adjust the brightness of display panel 541, proximity transducer can close display panel 541 when mobile phone is moved in one's ear
And/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (generally three axles) acceleration
Size, size and the direction of gravity are can detect that when static, available for identification mobile phone posture application (such as horizontal/vertical screen is cut
Change, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；May be used also as mobile phone
The other sensors such as gyroscope, barometer, hygrometer, thermometer, the infrared ray sensor of configuration, will not be repeated here.
Voicefrequency circuit 560, loudspeaker 561, microphone 562 can provide the COBBAIF between user and mobile phone.Audio-frequency electric
Electric signal after the voice data received conversion can be transferred to loudspeaker 561, sound is converted to by loudspeaker 561 by road 560
Signal output；On the other hand, the voice signal of collection is converted to electric signal by microphone 562, by voicefrequency circuit 560 receive after turn
It is changed to voice data, then after voice data output processor 580 is handled, through RF circuits 510 to be sent to such as another mobile phone,
Or export voice data to memory 520 so as to further processing.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronicses postal by WiFi module 570
Part, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Fig. 5 is shown
WiFi module 570, but it is understood that, it is simultaneously not belonging to must be configured into for mobile phone, can not change as needed completely
Become in the essential scope of invention and omit.
Processor 580 is the control centre of mobile phone, using various interfaces and the various pieces of connection whole mobile phone, is led to
Cross operation or perform and be stored in software program and/or module in memory 520, and call and be stored in memory 520
Data, perform the various functions and processing data of mobile phone, so as to carry out integral monitoring to mobile phone.Optionally, processor 580 can be wrapped
Include one or more processing units；It is preferred that, processor 580 can integrated application processor and modem processor, wherein, should
Operating system, user interface and application program etc. are mainly handled with processor, modem processor mainly handles radio communication.
It is understood that above-mentioned modem processor can not also be integrated into processor 580.
Mobile phone also includes the power supply 590 (such as battery) powered to all parts, it is preferred that power supply can pass through power supply pipe
Reason system and processor 580 are logically contiguous, so as to realize management charging, electric discharge and power managed by power-supply management system
Etc. function.
Although not shown, mobile phone can also include camera, bluetooth module etc., will not be repeated here.
In previous embodiment, the structure realization that each step method flow can be based on the terminal.Wherein sensor 550 or
Contact panel 531 can be used as fingerprint recognition module.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored with journey
Sequence, the program includes the part or all of step of any unlocked by fingerprint method described in the above method embodiment when performing
Suddenly.
Although combining each embodiment herein, invention has been described, however, implementing the present invention for required protection
During, those skilled in the art are by checking the accompanying drawing, disclosure and appended claims, it will be appreciated that and it is real
Other changes of the existing open embodiment.In the claims, the word of " comprising " (comprising) one is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Single processor or other units can realize claim
In some functions enumerating.Mutually different has been recited in mutually different dependent some measures, it is not intended that these are arranged
Apply to combine and produce good effect.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or computer journey
Sequence product.Therefore, in terms of the present invention can be using complete hardware embodiment, complete software embodiment or combination software and hardware
The form of embodiment.Moreover, the present invention can be used in one or more calculating for wherein including computer usable program code
The computer program that machine usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part, it would however also be possible to employ other distribution forms, such as passes through the wired or wireless telecommunication systems of Internet or other.
The present invention be with reference to the method for the embodiment of the present invention, device (equipment) and computer program product flow chart with/
Or block diagram is described.It should be understood that can by each flow in computer program instructions implementation process figure and/or block diagram and/
Or square frame and the flow in flow chart and/or block diagram and/or the combination of square frame.These computer program instructions can be provided
To the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices to produce one
Individual machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for realizing
The device for the function of being specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Although with reference to specific features and embodiment, invention has been described, it is clear that, do not departing from this hair
In the case of bright spirit and scope, various modifications and combinations can be carried out to it.Correspondingly, the specification and drawings are only institute
The exemplary illustration of the invention that attached claim is defined, and be considered as covered in the scope of the invention any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art can to the present invention carry out it is various change and modification without
Depart from the spirit and scope of the present invention.So, if the present invention these modifications and variations belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to comprising including these changes and modification.
Claims (11)
1. a kind of unlocked by fingerprint method, it is characterised in that including：
Obtain fingerprint image；
The direction of the fingerprint image and preset fingerprint template is adjusted to unanimously；
Determine the first center of the fingerprint image and the second center of the preset fingerprint template；
The fingerprint image is divided into by multiple first areas based on first center and the first partitioned mode, and based on described the
The preset fingerprint template is divided into multiple second areas by two centers and first partitioned mode；
And be about to the multiple first area and matched with the multiple second area；
When the match is successful for the multiple first area and the multiple second area, terminal is unlocked；
Wherein, it is described and be about to the multiple first area and matched with the multiple second area, including：
And it is about to the described of each first area in the multiple first area and corresponding the multiple second area
Second area is matched；
The acquisition fingerprint image, including：
When user presses fingerprint recognition module, the pickup area of the fingerprint recognition module is determined；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in the pickup area, adopted by described
N1 abnormal induction electrode for collecting region obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value and institute
It is the fingerprint image to state n2 normal bottom data values, and the induction electrode array of the fingerprint recognition module is at least including described
N1 abnormal induction electrode and the n2 normal induction electrode, the n1, the n2 are positive integer；
The n2 normal bottom data values collected according to the n2 normal induction electrode of the fingerprint recognition module, it is determined that
The corresponding n1 bottom repair data value of the n1 abnormal induction electrode；
According to the n2 normal bottom data values and n1 bottom repair data value generation fingerprint image.
2. according to the method described in claim 1, it is characterised in that described by the fingerprint image and the side of preset fingerprint template
It is consistent to being adjusted to, including：
Extract the multiple fisrt feature of preset fingerprint template；
Extract multiple second feature of the fingerprint image；
Matching degree highest first object feature and the second target signature are determined, wherein, the first object is characterized as described many
One in individual fisrt feature, second target signature is one in the multiple second feature；
According to the direction of the direction of the first object feature and second target signature, by the fingerprint image with it is described pre-
If the direction of fingerprint template is adjusted to unanimously.
3. method according to claim 2, it is characterised in that the extraction preset fingerprint template multiple first is special
Levy, including：
The preset fingerprint template is divided into multiple regions；
A fisrt feature is at least selected from each region in the multiple region.
4. the method according to any one of claims 1 to 3, it is characterised in that after the acquisition fingerprint image, Yi Jisuo
State before the direction of the fingerprint image and preset fingerprint template is adjusted to unanimously, methods described also includes：
Judge whether the fingerprint image is the image of wet finger, if so, then performing described by the fingerprint image and default finger
The direction of line template is adjusted to consistent step.
5. method according to claim 4, it is characterised in that it is described judge the fingerprint image whether be wet finger figure
Picture, including：
Extract the characteristic point of the fingerprint image；
Judge whether the number of the characteristic point of the fingerprint image is less than the first predetermined threshold value, if, it is determined that the fingerprint image
It seem the image of the wet finger.
6. a kind of terminal, it is characterised in that including：
Acquiring unit, for obtaining fingerprint image；
Adjustment unit, one is adjusted to for the fingerprint image for obtaining the acquiring unit and the direction of preset fingerprint template
Cause；
Determining unit, for determining the first center of the fingerprint image and the second center of the preset fingerprint template；
Blocking unit, for first center that is determined based on the determining unit and the first partitioned mode by the fingerprint image
As being divided into multiple first areas, and second center that is determined based on the determining unit and first partitioned mode are by institute
State preset fingerprint template and be divided into multiple second areas；
Matching unit, is used to and is about to the multiple first area being matched with the multiple second area；
Unlocking unit, for when the match is successful for the multiple first area and the multiple second area, being solved to terminal
Lock；
Wherein, the matching unit specifically for：
And it is about to the described of each first area in the multiple first area and corresponding the multiple second area
Second area is matched；
The specific implementation that the acquiring unit obtains fingerprint image is：
When user presses fingerprint recognition module, the pickup area of the fingerprint recognition module is determined；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in the pickup area, adopted by described
N1 abnormal induction electrode for collecting region obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value and institute
It is the fingerprint image to state n2 normal bottom data values, and the induction electrode array of the fingerprint recognition module is at least including described
N1 abnormal induction electrode and the n2 normal induction electrode, the n1, the n2 are positive integer；
The n2 normal bottom data values collected according to the n2 normal induction electrode of the fingerprint recognition module, it is determined that
The corresponding n1 bottom repair data value of the n1 abnormal induction electrode；
According to the n2 normal bottom data values and n1 bottom repair data value generation fingerprint image.
7. terminal according to claim 6, it is characterised in that the adjustment unit includes：
First extraction module, for extracting the multiple fisrt feature of preset fingerprint template；
First extraction module, also particularly useful for：
Extract multiple second feature of the fingerprint image；
Determining module, for determining matching degree highest first object feature and the second target signature, wherein, the first object
One in the multiple fisrt feature is characterized as, second target signature is one in the multiple second feature；
Adjusting module, for the direction according to the first object feature and the direction of second target signature, refers to described
Print image and the direction of the preset fingerprint template are adjusted to unanimously.
8. terminal according to claim 7, it is characterised in that first extraction module includes：
Piecemeal module, for the preset fingerprint template to be divided into multiple regions；
Module is chosen, at least selecting a fisrt feature from each region in the multiple region.
9. the terminal according to any one of claim 6 to 8, it is characterised in that the terminal also includes：
Judging unit, whether after obtaining fingerprint image in the acquiring unit, it is wet finger to judge the fingerprint image
Image, if the judged result of the judging unit is yes, by the adjustment unit by the fingerprint image and preset fingerprint
The direction of template is adjusted to unanimously.
10. terminal according to claim 9, it is characterised in that the judging unit includes：
Second extraction module, the characteristic point for extracting the fingerprint image；
Judge module, for judging whether the number of characteristic point of the fingerprint image is less than the first predetermined threshold value, if so, then true
The fixed fingerprint image is the image of the wet finger.
11. a kind of terminal, it is characterised in that including：
Processor, memory, communication interface, fingerprint recognition module and communication bus, it is the processor, the memory, described
Fingerprint recognition module and the communication interface are connected by the communication bus and complete mutual communication；
The memory storage has executable program code, and the fingerprint recognition module is used to obtain fingerprint image, the communication
Interface is used for radio communication；
The processor is used to call the executable program code in the memory, performs as claim 1-5 is any
Method described in one.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710865055.2A CN107622193B (en) | 2016-05-27 | 2016-05-27 | fingerprint unlocking method and related product |
| CN201610368931.6A CN105912916B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610368931.6A CN105912916B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710865055.2A Division CN107622193B (en) | 2016-05-27 | 2016-05-27 | fingerprint unlocking method and related product |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105912916A CN105912916A (en) | 2016-08-31 |
| CN105912916B true CN105912916B (en) | 2017-10-31 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710865055.2A Expired - Fee Related CN107622193B (en) | 2016-05-27 | 2016-05-27 | fingerprint unlocking method and related product |
| CN201610368931.6A Expired - Fee Related CN105912916B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710865055.2A Expired - Fee Related CN107622193B (en) | 2016-05-27 | 2016-05-27 | fingerprint unlocking method and related product |
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| CN (2) | CN107622193B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106250887A (en) * | 2016-09-09 | 2016-12-21 | 深圳市金立通信设备有限公司 | A kind of fingerprint identification method and terminal |
| CN106778557B (en) * | 2016-11-30 | 2020-06-23 | 努比亚技术有限公司 | Fingerprint identification device and method |
| CN108345824A (en) * | 2017-01-24 | 2018-07-31 | 创智能科技股份有限公司 | Fingerprint authentication method and electronic device |
| TWI679431B (en) * | 2018-07-31 | 2019-12-11 | 友達光電股份有限公司 | Fingerprint sensing device and detection method thereof |
| CN109241954B (en) * | 2018-11-08 | 2022-03-29 | Oppo广东移动通信有限公司 | Fingerprint identification method and related equipment |
| CN109997151A (en) * | 2019-02-25 | 2019-07-09 | 深圳市汇顶科技股份有限公司 | The method, apparatus and electronic equipment of fingerprint recognition |
| CN110084298B (en) * | 2019-04-23 | 2021-09-28 | 北京百度网讯科技有限公司 | Method and device for detecting image similarity |
| CN110383287B (en) * | 2019-05-27 | 2022-08-30 | 深圳市汇顶科技股份有限公司 | Determination method of reverse color area, fingerprint chip and electronic equipment |
| CN112232157B (en) * | 2020-09-30 | 2022-03-18 | 墨奇科技（北京）有限公司 | Fingerprint area detection method, device, equipment and storage medium |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2821348B2 (en) * | 1993-10-21 | 1998-11-05 | 日本電気ソフトウェア株式会社 | Fingerprint collation device |
| CN1299230C (en) * | 2003-11-10 | 2007-02-07 | 北京握奇数据系统有限公司 | Finger print characteristic matching method based on inter information |
| KR102187833B1 (en) * | 2014-01-02 | 2020-12-07 | 삼성전자 주식회사 | Method for executing a function and Electronic device using the same |
| CN104751040A (en) * | 2014-07-25 | 2015-07-01 | 北京智膜科技有限公司 | Fingerprint detection method based on intelligent mobile information equipment |
| CN105260696B (en) * | 2015-02-13 | 2020-10-23 | 深圳比亚迪微电子有限公司 | Self-learning method and device of fingerprint template |
| CN105447437B (en) * | 2015-02-13 | 2017-05-03 | 比亚迪股份有限公司 | fingerprint identification method and device |
| CN105447454B (en) * | 2015-11-13 | 2018-05-01 | 广东欧珀移动通信有限公司 | Fingerprint template improving method, device and terminal device |
| CN105469106B (en) * | 2015-11-13 | 2018-06-05 | 广东欧珀移动通信有限公司 | fingerprint identification method, device and terminal device |
-
2016
- 2016-05-27 CN CN201710865055.2A patent/CN107622193B/en not_active Expired - Fee Related
- 2016-05-27 CN CN201610368931.6A patent/CN105912916B/en not_active Expired - Fee Related
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| Publication number | Publication date |
|---|---|
| CN107622193B (en) | 2019-12-06 |
| CN107622193A (en) | 2018-01-23 |
| CN105912916A (en) | 2016-08-31 |
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