CN108345825A - Fingerprint authentication method and its electronic device - Google Patents
Fingerprint authentication method and its electronic device Download PDFInfo
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- CN108345825A CN108345825A CN201710059715.8A CN201710059715A CN108345825A CN 108345825 A CN108345825 A CN 108345825A CN 201710059715 A CN201710059715 A CN 201710059715A CN 108345825 A CN108345825 A CN 108345825A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/0485—Scrolling or panning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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Abstract
A kind of fingerprint authentication method of the application offer and its electronic device.The method can sequentially obtain multiple sliding fingerprint images, multiple acquired sliding fingerprint images are combined into integration fingerprint image, and the template fingerprint image for integrating fingerprint image and electronic device storage is compared, whether is able to pass through verification with multiple the sliding fingerprint images for judging acquired.The method also to calculate the sliding trace corresponding to it, and can compare at least one desired guiding trajectory of sliding trace and electronic device, to judge whether sliding trace is able to pass through verification according to the acquirement sequence of multiple acquired sliding fingerprint images.
Description
Technical field
This application involves a kind of verification method and devices, and more particularly to a kind of fingerprint authentication method and its electronic device.
Background technology
In today, the standard that fingerprint sensor almost has become various electronic device is equipped with.It is distinguished with identification technology,
Optical profile type, thermal-induction type, Supersonic waves and condenser type etc. can be divided into, wherein have at present with capacitive fingerprint identification technology again
Have and is quite widely applied.In simple terms, the mode of fingerprint recognition be for fingerprint concave convex texture variation be identified, with
Obtain finger print information.Due to having different concave convex textures on fingerprint, when fingerprint tough senses panel, sense on panel
The capacitances of different sensing regions the corresponding different lines touched respectively are changed, the wherein recess portion induction of fingerprint
Capacitance is smaller, and the capacitance in the induction of the protrusion of fingerprint is larger.However, the lines amplitude of variation of fingerprint is quite small, phase
May there was only the difference of 0.1 farad and 1 farad to the capacitance incuded on sensing panel.So carrying out fingerprint recognition
When, if there is the presence of noise jamming, fingerprint recognition system receives the sensing signal about capacitance variation to carry out analysis electricity
When capacitance changes, it will be easily affected by noise, cause the erroneous judgement of signal to influence the accuracy of fingerprint recognition.
In addition to this, in order to take the size of electronic device into account, the area that fingerprint sensor is occupied is often smaller, and institute's energy
The finger print information of acquirement is also less, causes the accuracy of fingerprint recognition that can may also and then decline.Therefore, how to be promoted and referred to
The accuracy of line identification is current considerable project.
Invention content
In view of this, a kind of fingerprint authentication method of the application offer and its electronic device, in addition to the letter of fingerprint image itself
Except breath, user's finger sliding trace is also therefrom calculated, the fingerprint relevant information that fingerprint sensor can be provided can be increased.
The fingerprint authentication method of the application is suitable for electronic device, and the method can sequentially obtain multiple sliding fingerprint images,
Multiple acquired sliding fingerprint images are combined into integration fingerprint image, and compares and integrates fingerprint image and electronic device storage
Whether the template fingerprint image deposited is able to pass through verification with multiple the sliding fingerprint images for judging acquired.The method can also be according to
According to the acquirement sequence of multiple acquired sliding fingerprint images, to calculate the sliding trace corresponding to it, and sliding rail is compared
At least one desired guiding trajectory of mark and electronic device, to judge whether sliding trace is able to pass through verification.
In the embodiment of the application, if it is determined that multiple acquired sliding fingerprint images are passed through with sliding trace
Verification, then unlock electronic device.
In the embodiment of the application, if it is determined that multiple acquired sliding fingerprint images are able to through verification, and it is sliding
Dynamic rail mark then starts according to the desired guiding trajectory corresponding to sliding trace corresponding to one of at least one desired guiding trajectory
The specific function of electronic device.
In the embodiment of the application, the acquirement sequence of multiple sliding fingerprint images acquired by above-mentioned foundation, meter
The step of calculating multiple sliding fingerprint images corresponding sliding trace includes being compared between each sliding fingerprint image according to acquirement sequence
Lap, and calculate sliding trace according to lap.
In the embodiment of the application, the acquirement sequence of multiple sliding fingerprint images acquired by above-mentioned foundation, meter
The step of calculating multiple sliding fingerprint images corresponding sliding trace includes comparing each sliding fingerprint image and template fingerprint image, with
Position of each sliding fingerprint image on template fingerprint image is obtained, and according to the acquirement sequence of each sliding fingerprint image and its
Position on template fingerprint image, to calculate sliding trace.
The electronic device of the application includes that fingerprint obtains module, fingerprint integrates module, trajectory computation module and fingerprint inspection
Demonstrate,prove module.Fingerprint obtains module and sequentially obtains multiple sliding fingerprint images.Fingerprint integrates module and combines multiple acquired slidings
Fingerprint image is to integrate fingerprint image.Acquirement sequence of the trajectory computation module according to multiple acquired sliding fingerprint images, comes
Calculate multiple corresponding sliding traces of sliding fingerprint image.Fingerprint authentication module, which compares, integrates fingerprint image and electronic device storage
Template fingerprint image, whether be able to pass through verification with multiple the sliding fingerprint images for judging acquired.Fingerprint authentication module is also
At least one desired guiding trajectory for comparing sliding trace and electronic device, to judge whether sliding trace is able to pass through verification.
In the embodiment of the application, if multiple sliding fingerprint images that above-mentioned fingerprint authentication module judgement is acquired
It is able to through verification, then above-mentioned electronic device unlock with sliding trace.
In the embodiment of the application, if multiple sliding fingerprint images that above-mentioned fingerprint authentication module judgement is acquired
It is able to through verification, and sliding trace corresponding to one of at least one desired guiding trajectory, then foundation sliding trace institute is right
The desired guiding trajectory answered starts the specific function of electronic device.
In the embodiment of the application, above-mentioned trajectory computation module is according to multiple acquired sliding fingerprint images
Acquirement sequence compares lap between each sliding fingerprint image, and calculates sliding trace according to the lap.
In the embodiment of the application, above-mentioned fingerprint authentication module compares each sliding fingerprint image and template fingerprint figure
Picture, to obtain position of each sliding fingerprint image on template fingerprint image.Above-mentioned trajectory computation module refers to according to each sliding
Position of the print image on template fingerprint image, to calculate sliding trace.
Based on above-mentioned, the fingerprint authentication method and its electronic device of the application by multiple acquired sliding fingerprint images,
It is combined into integration fingerprint image, this integrates fingerprint image and can be used to judge whether multiple sliding fingerprint images are able to pass through verification.
In addition, the fingerprint authentication method and its electronic device of the application also calculate the cunning corresponding to multiple acquired sliding fingerprint images
Dynamic rail mark, using as integrate fingerprint image other than another information.Thus, can be from multiple acquired sliding fingerprint figures
More fingerprint relevant informations are obtained as in.
Description of the drawings
Including attached drawing is to further understand the application, and attached drawing is incorporated in this specification and constitutes one of this specification
Point.Embodiments herein is illustrated, and is used to explain the principle of the application together with the description.
Fig. 1 is the block diagram according to the electronic device shown by one embodiment of the application；
Fig. 2 is the flow chart according to the fingerprint authentication method shown by one embodiment of the application；
Fig. 3 is according to the schematic diagram for obtaining multiple sliding fingerprint images shown by one embodiment of the application；
Fig. 4 is the schematic diagram that fingerprint image is integrated according to the acquirement shown by one embodiment of the application；
Fig. 5 is the schematic diagram according to the calculating sliding trace shown by one embodiment of the application；
Fig. 6 is the schematic diagram according to the calculating sliding trace shown by another embodiment of the application；
Reference sign
100：Electronic device；
110：Fingerprint sensor；
120：Processor；
130：Storage device；
131：Fingerprint obtains module；
133：Fingerprint integrates module；
135：Trajectory computation module；
137：Fingerprint authentication module；
CFIMG：Integrate fingerprint image；
OVP：Lap；
S210~S250：The step of fingerprint authentication method；
SD1~SD5：Glide direction；
SFIMG1~SFIMG6：Sliding fingerprint image；
TFIMG：Template fingerprint image.
Specific implementation mode
With detailed reference to the exemplary embodiment of the application, the example of exemplary embodiment is illustrated in attached drawing.Only
It is possible that similar elements symbol is used for indicating same or similar part in the accompanying drawings and the description.
Fig. 1 is the block diagram according to the electronic device shown by one embodiment of the application.Fig. 1 is please referred to, the present embodiment
Electronic device 100 is, for example, smart mobile phone (Smart phone), personal digital assistant (Personal Digital
Assistant, PDA), (Tablet PC), laptop, desktop computer or other kinds of electronic device.Electronic device
100 include fingerprint sensor 110, processor 120 and storage device 130, and function is described below.
Fingerprint sensor 110 is, for example, capacitance type sensor, optical sensor, thermal-induction type sensor or Supersonic waves
The fingerprint sensor of sensor.In the present embodiment, fingerprint sensor 110 to sense whether occur user finger touch
It touches, carrys out the control acquisition user's finger of fingerprint sensor 110 of notifier processes device 120 to transmit enabling signal to processor 120
Fingerprint image.
Storage device 130 can be any kind of fixed or packaged type random access memory (random
Access memory, RAM), read-only memory (read-only memory, ROM), flash memory (flash memory) or similar
The combination of element or said elements.In the present embodiment, storage device 130 is to logging template fingerprint image.Template fingerprint figure
As the fingerprint image that e.g. user is registered by fingerprint sensor 110, template fingerprint image after registration can be made
To judge whether fingerprint image can be by the foundation of verification.Subsidiary one carries, and the application is not intended to limit template fingerprint image
Quantity can be one or more.
In the present embodiment, storage device 130 includes that fingerprint obtains module 131, fingerprint integrates module 133, trajectory calculation
Module 135 and fingerprint authentication module 137, these modules are for example previously stored the program in storage device 130.
Processor 120 is, for example, central processing unit (Central Processing Unit, CPU) or other can be compiled
The general service of journey or microprocessor (Microprocessor), the digital signal processor (Digital of specific use
Signal Processor, DSP), programmable controller, special application integrated circuit (Application Specific
Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD) or other
The combination of similar device or these devices.Processor 120 connects fingerprint sensor 110 and storage device 130, can be from storage
Device 130 is loaded into fingerprint and obtains module 131, fingerprint integration module 133, trajectory computation module 135 and fingerprint authentication module 137
Program, according to this execute the application fingerprint authentication method.Illustrate the detailed step of the method for embodiment below.
Fig. 2 is the flow chart according to the fingerprint authentication method shown by one embodiment of the application.Please refer to Fig. 2, this implementation
The method of example is suitable for the electronic device 100 of Fig. 1, and each item i.e. in collocation electronic device 100 illustrates the application's below
The detailed step of fingerprint authentication method.
First, fingerprint, which obtains module 131, sequentially to obtain multiple sliding fingerprint image (steps by fingerprint sensor 110
Rapid S210).Fig. 3 is according to the schematic diagram for obtaining multiple sliding fingerprint images shown by one embodiment of the application.Such as Fig. 3 institutes
Show, in the present embodiment, for fingerprint sensor 110, the finger of the user e.g. side of showing as indicated by the arrows in the figure
It is slided to the right to first, then lower slider to the left.Fingerprint obtains module 131 for example can be by fingerprint sensor 110 with the scheduled time
Interval obtains 6 sliding fingerprint image SFIMG1~SFIMG6s of user's finger when being slided on fingerprint sensor 110.Due to
The finger of user is to slide to the right relative to fingerprint sensor 110, then lower slider to the left, therefore relative to the hand of user
Refer to, sliding fingerprint image SFIMG1~SFIMG6 is to achieve on finger first to the left, then 6 slidings in upper right refer to
Print image.Subsidiary one carries, and the application is not intended to limit above-mentioned predetermined time interval and acquired sliding fingerprint image
Quantity, fingerprint acquirement module 131, which also can be for example, in other embodiments obtains 8 or more or less sliding fingerprint figure
Picture.In other words, those skilled in the art when can according to demand come set obtain multiple sliding fingerprint images predetermined time interval,
Total length of time, and the quantity that obtains, the application do not limit.
Then, fingerprint, which integrates module 133, to be to integrate fingerprint image (step S220) in conjunction with multiple sliding fingerprint images.Figure
4 be the schematic diagram that fingerprint image is integrated according to the acquirement shown by one embodiment of the application.As shown in figure 4, in the present embodiment,
Sliding fingerprint image SFIMG1~SFIMG6 acquired by fingerprint acquirement module 131 can be combined into whole by fingerprint integration module 133
Close fingerprint image CFIMG.Specifically, fingerprint, which integrates module 133, can judge sliding fingerprint image SFIMG1~SFIMG6 two-by-two
Overlapping region, then will determine that out overlapping region overlapping, just can obtain the integration fingerprint image CFIMG of larger area.Letter
For list, the connection collection of 6 acquired sliding fingerprint image SFIMG1~SFIMG6 can be considered as by integrating fingerprint image CFIMG
Image.
By taking sliding fingerprint image SFIMG1, SFIMG2 of the present embodiment as an example, fingerprint, which integrates module 133, can judge that sliding refers to
The lap OVP (being filled up with oblique line) of print image SFIMG1, SFIMG2 are located at the left side of sliding fingerprint image SFIMG1, and
Lap OVP is located at the right side of sliding fingerprint image SFIMG2.Fingerprint integrates the sliding that module 133 can be judged it
The lap OVP of fingerprint image SFIMG1 and sliding fingerprint image SFIMG2 is overlapped, and just can combine sliding fingerprint image
SFIMG1 and SFIMG2 is to obtain the connection collection image of the two.Analogize by this method, just can obtain combining sliding fingerprint image
The integration fingerprint image CFIMG of SFIMG1~SFIMG6.
Specifically, in conjunction with integration fingerprint image CFIMG can be than fingerprint image that 110 single of fingerprint sensor is captured
As (for example, one of sliding fingerprint image SFIMG1~SFIMG6) includes more finger print informations.Therefore, the present embodiment
Fingerprint sensor 110 can also obtain enough finger print informations with implementation at smaller size to verify.
Other than obtaining in conjunction with multiple sliding fingerprint images and integrating fingerprint image, trajectory computation module 135 can also be according to
According to the acquirement sequence of multiple sliding fingerprint images, to calculate the sliding trace (step corresponding to multiple sliding fingerprint images
S230).Fig. 5 is the schematic diagram according to the calculating sliding trace shown by one embodiment of the application.As shown in figure 5, in this implementation
In example, the acquirements of multiple sliding fingerprint images sequence be sequentially SFIMG1, SFIMG2, SFIMG3, SFIMG4, SFIMG5,
SFIMG6.Therefore, trajectory computation module 135 can first determine whether the glide direction SD1 of sliding fingerprint image SFIMG1, SFIMG2,
Judge the glide direction SD2 of sliding fingerprint image SFIMG2, SFIMG3 again, and so on can obtain glide direction SD1~
SD5。
In the present embodiment, trajectory computation module 135 can taking according to multiple sliding fingerprint image SFIMG1~SFIMG6
The lap sequentially compared between each sliding fingerprint image is obtained, then sliding rail is calculated according to the lap compared
Mark.By taking sliding fingerprint image SFIMG1, SFIMG2 of the present embodiment as an example, trajectory computation module 135 can compare sliding fingerprint figure
As the lap OVP of SFIMG1, SFIMG2.As described in the above paragraph, lap OVP is located at sliding fingerprint image SFIMG1
Left side, and lap OVP is located at the right side of sliding fingerprint image SFIMG2.Therefore, trajectory computation module 135 can be sentenced
Break from the period for obtaining sliding fingerprint image SFIMG1 to acquirement sliding fingerprint image SFIMG2, the sliding of user's finger
Direction SD1 is towards right sliding.Then, trajectory computation module 135 can sequentially compare sliding fingerprint image SFIMG2, SFIMG3, sliding
Dynamic fingerprint image SFIMG3, SFIMG4, sliding fingerprint image SFIMG4, SFIMG5, sliding fingerprint image SFIMG5, SFIMG6
Lap is to judge other glide direction SD2~SD5.Finally, it is user's finger that glide direction SD1~SD5 is combinable
Sliding trace, that is, first to the right, then to left down.
In another embodiment, the template fingerprint image TFIMG that user is registered is stored in storage device 130.Cause
This, fingerprint authentication module 137 also for example can first compare each sliding fingerprint image SFIMG1~SFIMG6 and template fingerprint image
TFIMG, to obtain the position of each sliding fingerprint image SFIMG1~SFIMG6 TFIMG on template fingerprint image (for example, sliding
Coordinate of the Core Point in Fingerprint on template fingerprint image TFIMG), then trajectory computation module 135 can be again according to each sliding
Acquirement sequence and its position on template fingerprint image TFIMG of fingerprint image SFIMG1~SFIMG6, calculates sliding trace.
Fig. 6 is the schematic diagram according to the calculating sliding trace shown by another embodiment of the application.Specifically, such as Fig. 6
Shown, fingerprint authentication module 137 can compare out each sliding fingerprint image SFIMG1~SFIMG6 on template fingerprint image TFIMG
Corresponding position.Then, just can according to above-mentioned acquirement sequence and template fingerprint image TFIMG, trajectory computation module 135
Judge that each sliding fingerprint image SFIMG1~SFIMG6 is corresponded in template fingerprint image TFIMG first to the left, then to upper right
Position.Specifically, glide direction SD1 may be, for example, sliding fingerprint image SFIMG1 on template fingerprint image TFIMG
Coordinate, subtracts coordinates of the sliding fingerprint image SFIMG2 on template fingerprint image TFIMG, obtained vector, and so on.
Thus, which trajectory computation module 135 just can further be judged corresponding to sliding fingerprint image SFIMG1~SFIMG6
The sliding trace of user's finger is first to the right, then to left down.
After obtaining integration fingerprint image CFIMG, fingerprint authentication module 137, which can compare, integrates fingerprint image CFIMG and electricity
The template fingerprint image TFIMG stored in the storage device 130 of sub-device 100, with judge sliding fingerprint image SFIMG1~
Whether SFIMG6 is able to through verification (step S240).In the present embodiment, fingerprint authentication module 137 can for example obtain integration and refer to
Multiple characteristic points in print image CFIMG, to compare with multiple characteristic points in template fingerprint image TFIMG, and judgement
Whether the characteristic point quantity matched reaches requirement, and judgement according to this integrates whether fingerprint image CFIMG is able to pass through verification.When integration refers to
Print image CFIMG be able to by verification, then judge that sliding fingerprint image SFIMG1~SFIMG6 is also able to pass through verification.Ability
The technical staff that domain has general knowledge should be appreciated that fingerprint image CFIMG and template fingerprint image TFIMG is integrated in comparison, to sentence
Surely it integrates whether fingerprint image CFIMG is able to specific means and method by verification, therefore does not limit further also herein no longer
It repeats.
After obtaining sliding trace, it is at least one pre- to compare sliding trace and electronic device 100 for fingerprint authentication module 137
If track, whether it is able to through verification (step S250) with the sliding trace for judging acquired.In the present embodiment, electronic device
100 processor 120 is preset with the desired guiding trajectory verified, for example, first to the right, then to left down.When sliding trace is matched with
Desired guiding trajectory, for example, both be all first to the right, then to left down when, then fingerprint authentication module 137 can judge that sliding trace is led to
Cross verification.
However, the application is not intended to limit the quantity of desired guiding trajectory.It in another embodiment, can be multiple default for example there is having
Track defaults in processor 120 or is stored in storage device 130, and each desired guiding trajectory corresponds respectively to electronic device
One of 100 specific functions.When sliding trace is matched with one of multiple desired guiding trajectories, fingerprint authentication module
137 can also judge that sliding trace is able to pass through verification.
It follows that the electronic device 100 of the embodiment of the present application is picked in addition to obtaining than single by fingerprint sensor 110
The fingerprint image taken includes also to achieve the sliding of user's finger except the integration fingerprint image CFIMG of more finger print informations
Track.Thus, which electronic device 100 there are more finger print informations that can apply, elasticity when fingerprint authentication is increased.
For example, when fingerprint authentication module 137 judges sliding fingerprint image SFIMG1~SFIMG6 and sliding simultaneously
Track is all able to, by verification, can just unlock electronic device 100.Specifically, the finger print information for increasing sliding trace can
Increase safety when electronic device 100 unlocks.
For by way of further example, when fingerprint authentication module 137 judges that sliding fingerprint image SFIMG1~SFIMG6 is passed through
Verification, and sliding trace is when being matched with multiple one of desired guiding trajectories of specific function corresponding to electronic device 100,
According to the matched desired guiding trajectory of sliding trace, to start corresponding specific function in electronic device 100.Specifically, increase
The finger print information of sliding trace can be in the primary sliding of user's finger, while reaching verification and starting specific function
Purpose.
In conclusion the fingerprint authentication method and its electronic device of the application be by multiple acquired sliding fingerprint images,
It is combined into integration fingerprint image, this integrates fingerprint image and can be used to judge whether multiple sliding fingerprint images are able to pass through verification.
In addition, the fingerprint authentication method and its electronic device of the application also calculate the cunning corresponding to multiple acquired sliding fingerprint images
Dynamic rail mark, using as integrate fingerprint image other than another information.Thus, can be passed by reducing fingerprint in electronic device
Volume needed for sensor, and obtain more fingerprint relevant informations from multiple acquired sliding fingerprint images.
Finally it should be noted that：The above various embodiments is only to illustrate the technical solution of the application, rather than its limitations；To the greatest extent
Pipe is described in detail the application with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement；And these modifications or replacements, each embodiment technology of the application that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of fingerprint authentication method is suitable for electronic device, which is characterized in that including：
Sequentially obtain multiple sliding fingerprint images；
It is to integrate fingerprint image in conjunction with multiple described sliding fingerprint images；
According to the acquirement sequence of multiple sliding fingerprint images, the corresponding sliding rail of multiple described sliding fingerprint images is calculated
Mark；
The template fingerprint image for comparing the integration fingerprint image and electronic device storage, to judge that multiple described slidings refer to
Whether print image is able to pass through verification；And
At least desired guiding trajectory for comparing the sliding trace and the electronic device, to judge whether the sliding trace is able to
Pass through verification.
2. fingerprint authentication method according to claim 1, which is characterized in that if it is determined that multiple described sliding fingerprint images with
The sliding trace is able to by verification, then unlock the electronic device.
3. fingerprint authentication method according to claim 1, which is characterized in that if it is determined that multiple described sliding fingerprint images obtain
With by verification, and the sliding trace one of is matched in an at least desired guiding trajectory, then according to the sliding
Track the matched desired guiding trajectory start the specific function of the electronic device.
4. fingerprint authentication method according to claim 1, which is characterized in that according to taking for multiple sliding fingerprint images
Sequence, the step of calculating multiple described sliding fingerprint images corresponding sliding trace, include：
The lap between each sliding fingerprint image is compared according to acquirement sequence；And
The sliding trace is calculated according to the lap.
5. fingerprint authentication method according to claim 1, which is characterized in that according to taking for multiple sliding fingerprint images
Sequence, the step of calculating multiple described sliding fingerprint images corresponding sliding trace, include：
Each sliding fingerprint image and the template fingerprint image are compared, to obtain each sliding fingerprint image in the template fingerprint figure
As upper position；And
Acquirement sequence according to each sliding fingerprint image and its position on the template fingerprint image, calculate institute
State sliding trace.
6. a kind of electronic device, which is characterized in that including：
Fingerprint obtains module, sequentially obtains multiple sliding fingerprint images；
Fingerprint integrates module, is to integrate fingerprint image in conjunction with multiple described sliding fingerprint images；
Trajectory computation module calculates multiple described sliding fingerprint images according to the acquirement sequence of multiple sliding fingerprint images
Corresponding sliding trace；And
Fingerprint authentication module compares the template fingerprint image for integrating fingerprint image and electronic device storage, with judgement
Whether multiple described sliding fingerprint images are able to through verification, and compare the sliding trace and the electronic device at least
One desired guiding trajectory, to judge whether the sliding trace is able to pass through verification.
7. electronic device according to claim 6, which is characterized in that if multiple described cunnings of fingerprint authentication module judgement
Dynamic fingerprint image is able to the sliding trace through verification, then the electronic device unlock.
8. electronic device according to claim 6, which is characterized in that if multiple described cunnings of fingerprint authentication module judgement
Dynamic fingerprint image is able to by verification, and one of in the sliding trace at least desired guiding trajectory corresponding to described in, then
Start the specific function of the electronic device according to the desired guiding trajectory corresponding to the sliding trace.
9. electronic device according to claim 6, which is characterized in that the trajectory computation module is according to acquirement sequence
The lap between each sliding fingerprint image is compared, and the sliding trace is calculated according to the lap.
10. electronic device according to claim 6, which is characterized in that the fingerprint authentication module compares each sliding fingerprint
Image and the template fingerprint image, to obtain position of each sliding fingerprint on the template fingerprint image,
The wherein described trajectory computation module according to each sliding fingerprint image the acquirement sequence with it in the template fingerprint figure
As the upper position, the sliding trace is calculated.
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| US11443542B2 (en) | 2020-05-19 | 2022-09-13 | Industrial Technology Research Institute | Fingerprint recognition method and electronic interactive apparatus thereof |
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Application publication date: 20180731 |