CN106845420A - Detection method and detection means - Google Patents
Detection method and detection means Download PDFInfo
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- CN106845420A CN106845420A CN201710053290.XA CN201710053290A CN106845420A CN 106845420 A CN106845420 A CN 106845420A CN 201710053290 A CN201710053290 A CN 201710053290A CN 106845420 A CN106845420 A CN 106845420A
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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
- 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
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Abstract
The present invention discloses a kind of detection method and detection means, wherein, detection method, the fingerprint identification function for detecting mobile terminal fingerprint module, the detection method comprises the following steps：When test instruction is obtained, by the default service for being tested application direct access, the fingerprint module is controlled to start input function；Obtain the multiframe fingerprint image of continuous acquisition；Fingerprint image described in multiframe is compared, judges whether to be mutually distinguishable successfully；If so, then judging that the fingerprint identification function of the fingerprint module is normal；Otherwise, it is determined that being abnormal.The present invention has raising detection efficiency, it is adaptable to the effect of production line test.
Description
Technical field
The present invention relates to fingerprint recognition field, more particularly to detection method and detection means.
Background technology
Current fingerprint module is required for being tested, it is to avoid defective products is installed on mobile terminal in upper machine.Fingerprint mould
Group is before producing line assembling in addition to the continuity test to hardware, in addition it is also necessary to which the quality to gathering image is assessed, and this requires energy
Enough obtain the typing situation of fingerprint.Because the quality of image is difficult accurately to be defined with a numeral, so we can use record
The fingerprint for entering does fingerprint recognition, if it is possible to normal identification, then it is assumed that picture quality is qualified；Otherwise explanation picture quality compared with
Difference, the fingerprint module is defective products.
But the fingerprint identification function of the operating system of existing mobile terminal has for safety in fingerprint typing and identification
There are very many steps.Such as fingerprint management of Android android system must first open password unblock, and need application program
APP gets legal fingerprinting operation authority, and whole flow process is extremely complex, less efficient, is not suitable for the survey directly as producing line
Method for testing
The content of the invention
The main object of the present invention is to provide detection method and detection means, it is intended to improve detection efficiency, it is adaptable to producing line
Test.
To achieve the above object, a kind of detection method proposed by the present invention, the finger for detecting mobile terminal fingerprint module
Line identification function, the detection method comprises the following steps：
When test instruction is obtained, by the default service for being tested application direct access, the fingerprint is controlled
Module starts input function；
Obtain the multiframe fingerprint image of continuous acquisition；
Fingerprint image described in multiframe is compared, judges whether to be mutually distinguishable successfully；
If so, then judging that the fingerprint identification function of the fingerprint module is normal；Otherwise, it is determined that being abnormal.
Preferably, step that is described to be compared fingerprint image described in multiframe, judging whether to be mutually distinguishable successful
Specifically include：
The fingerprint template be space-time, by gather the first frame described in fingerprint image be set to fingerprint masterplate, using as
Fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate as sample, and by the sample and the fingerprint mould
Version is matched and is obtained matching result；
If the matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If the matching result is successfully, fingerprint template will be updated to as the fingerprint image of sample, using as
Fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate continues to match as sample, until being matched to default frame institute
State fingerprint image；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
Preferably, step that is described to be compared fingerprint image described in multiframe, judging whether to be mutually distinguishable successful
Specifically include：
Fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will subsequently preset fingerprint image described in frame successively
As sample, and each sample is matched with the fingerprint masterplate successively and matching result is obtained；
If any matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
Preferably, the step of multiframe fingerprint image of the acquisition continuous acquisition is specifically included：
During a finger contacts the fingerprint module, the multiframe fingerprint image of continuous acquisition is obtained.
Preferably, the step of multiframe fingerprint image of the acquisition continuous acquisition is specifically included：
The multiframe fingerprint image of continuous acquisition is obtained, and is stored in internal memory；
After whether the fingerprint identification function for judging the fingerprint module is normal, also including step：
By the fingerprint image release in the internal memory.
Present invention also offers a kind of detection means, the fingerprint identification function for detecting mobile terminal fingerprint module, institute
Stating detection means includes：
Interface interchange module, for when test instruction is obtained, by default for being tested application direct access
Service, controls the fingerprint module to start input function；
Typing module, the multiframe fingerprint image for obtaining continuous acquisition；
Matching module, for fingerprint image described in multiframe to be compared, judges whether to be mutually distinguishable successfully；
Determination module, if it is the fingerprint identification function for judging the fingerprint module to be judged to for the matching module
Normally；Otherwise it is judged to abnormal.
Preferably, the matching module specifically for：
The fingerprint template be space-time, by gather the first frame described in fingerprint image be set to fingerprint masterplate, using as
Fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate as sample, and by the sample and the fingerprint mould
Version is matched and is obtained matching result；
If the matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If the matching result is successfully, fingerprint template will be updated to as the fingerprint image of sample, using as
Fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate continues to match as sample, until being matched to default frame institute
State fingerprint image；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
Preferably, the matching module specifically for：
It is described to be compared fingerprint image described in multiframe, judge whether that being mutually distinguishable successful step specifically wraps
Include：
Fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will subsequently preset fingerprint image described in frame successively
As sample, and each sample is matched with the fingerprint masterplate successively and matching result is obtained；
If any matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
Preferably, the typing module specifically for：
During a finger contacts the fingerprint module, the multiframe fingerprint image of continuous acquisition is obtained.
Preferably, the typing module specifically for：The multiframe fingerprint image of continuous acquisition is obtained, and is stored in internal memory
In；
And the typing module, judges whether the fingerprint identification function of the fingerprint module is normal in the determination module
Afterwards, it is additionally operable to：By the fingerprint image release in the internal memory.
Detection method provided by the present invention, fingerprint collecting and multiframe fingerprint image are carried out by directly control fingerprint module
Mutually compare, then when being tested, cumbersome flow in existing operating system can be avoided, for example, skipped primary Android
The requirement such as coded lock, fingerprinting operation authority necessary to Android system so that testing process is simpler, has reached raising and has surveyed
Try the effect of efficiency.And in this testing scheme, test is completed by can at least accomplishing typing two field pictures.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Structure according to these accompanying drawings obtains other accompanying drawings.
Fig. 1 is the flow chart of detection method first embodiment；
Fig. 2 is the mutual comparison flow chart of detection method second embodiment；
Fig. 3 is the mutual comparison flow chart of detection method 3rd embodiment；
Fig. 4 is the flow chart of detection method fourth embodiment；
Fig. 5 is the flow chart of the embodiment of detection method the 5th；
Fig. 6 is the module map of the embodiment of detection means of the present invention.
The realization of the object of the invention, functional characteristics and advantage will be described further referring to the drawings in conjunction with the embodiments.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Refer to Fig. 1, detection method first embodiment, a kind of detection method, for detecting mobile terminal fingerprint
The fingerprint identification function of module, the detection method comprises the following steps：
Step S100, when test instruction is obtained, by the default service for being tested application direct access
Service controls the fingerprint module to start input function；Wherein it is possible to pre-build a service for fingerprint module
Service, the Service can be test for application APP direct access, and for providing test calling interface；From
And pass through the Service and start input function, and obtain fingerprint image.
Step S101, obtains the multiframe fingerprint image of continuous acquisition.Wherein, multiframe fingerprint image can be a finger by
Multiple fingerprint images for being obtained during pressure, or continuously press several times, and obtain an at least frame fingerprint image every time, for example, adopt
Repeatedly pressed with same Fingerprint Model.
Step S102, fingerprint image described in multiframe is compared, and judges whether to be mutually distinguishable successfully；If so, then
Perform step S103；If it is not, then performing step S104.Wherein, being compared can be with a fingerprint image for reference to contrasting
Other fingerprint images, it is also possible to which each fingerprint image all contrasts other fingerprint images as reference.
Step S103, then judge that the fingerprint identification function of the fingerprint module is normal.
Step S104, judges that the fingerprint identification function of the fingerprint module is abnormal.
The present embodiment, by the way that directly control fingerprint module carries out fingerprint collecting and multiframe fingerprint image is mutually compared, then exists
When being tested, cumbersome flow in existing operating system can be avoided, for example, skip primary Android Android system and musted
Coded lock, fingerprinting operation authority of palpus etc. are required so that testing process is simpler, have reached the effect for improving testing efficiency.And
And in this testing scheme, test is completed by can at least accomplishing typing two field pictures.
Refer to Fig. 2, detection method second embodiment, the present embodiment based on first embodiment, to wherein
The step of S102 replaced.Specifically：
It is described to be compared fingerprint image described in multiframe, judge whether that being mutually distinguishable successful step specifically wraps
Include：
Step S2020, is space-time in the fingerprint template, and fingerprint image described in the first frame that will be gathered is set to fingerprint mould
Version, using as fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate as sample, and by the sample with
The fingerprint masterplate is matched and is obtained matching result.For example, obtain in order fingerprint image A1, A2, A3 ..., A8.This
Step is then matched A1 and A2, and obtains result R1.
Step S2021, judges whether the matching result is successfully.If so, then performing step S2022；If it is not, then performing
Step S2025.
Step S2022, judges whether to be matched to fingerprint image described in default frame；If so, step S2023 is then performed, if it is not,
Then perform step S2024.Wherein, the default frame can be set as last frame, naturally it is also possible to be set as 3 frames, 4 frames or 5
Frame etc..
Step S2023, judgement is mutually distinguishable successfully.
Step S2024, will be updated to fingerprint template as the fingerprint image of sample, using as described in fingerprint masterplate
Fingerprint image described in the next frame of fingerprint image continues to match as sample；Then step S2021 is performed.For example, obtaining in order
Fingerprint image A1, A2, A3 ..., A8.This step be after A1 and A2 are matched and result R1 is obtained, by A2 and
A3 is matched and is obtained result R2, and A3 and A4 are matched and result R3 etc. is obtained.
Step S2025, judgement is mutually distinguishable failure, and terminates subsequent match.
Because in the gatherer process of multiframe fingerprint image, finger might have shake or slight mobile, so two frames refer to
The more remote difference in interval of print image is bigger, and adjacent two frames difference is minimum.And the present embodiment, dynamically set by masterplate, then all the time
Recognized with adjacent two frames fingerprint image, such that it is able to effectively reduce the probability of wrong identification.Further, the program is reference
The fingerprint framework of primary android and build, therefore suitable for all android fingerprint schemes manufacturers.So as to have audient wide
It is general, it is easy to the effect of popularization.
Refer to Fig. 3, detection method 3rd embodiment, the present embodiment based on second embodiment, to wherein
The step of step S2024 replaced.Specifically：
It is described to be compared fingerprint image described in multiframe, judge whether that being mutually distinguishable successful step specifically wraps
Include：
Step S3020, S2020 is identical the step of with second embodiment, does not repeat herein.
Step S3021, S2021 is identical the step of with second embodiment, does not repeat herein.
Step S3022, S2022 is identical the step of with second embodiment, does not repeat herein.
Step S3023, S2023 is identical the step of with second embodiment, does not repeat herein.
Step S3024, using as fingerprint image described in the next frame of the fingerprint image of sample as sample continue
Match somebody with somebody.Then step S3021 is performed.For example, obtain in order fingerprint image A1, A2, A3 ..., A8.This step be by A1 and
After A2 is matched, A1 and A3 are matched, A1 and A4 match etc..
Step S3025, S2025 is identical the step of with second embodiment, does not repeat herein.
The present embodiment, is fingerprint masterplate by setting the first frame fingerprint image, and with subsequent frame fingerprint image successively
Match somebody with somebody, so as to obtain matching result.Relative to the scheme that masterplate is dynamically set, with the relatively simple advantage of flow, it is adaptable to
The frame number for gathering fingerprint is less, and records fingerprint using mechanical finger.Further, the program is with reference to primary
The fingerprint framework of android and build, therefore suitable for all android fingerprint schemes manufacturers.So as to have audient extensively, easily
In the effect promoted.
Refer to Fig. 4, detection method fourth embodiment, the present embodiment based on first embodiment, to wherein
The step of S101 replaced.Specifically：
Step S400, S100 is identical the step of with first embodiment, does not repeat herein.
Step S401, during a finger contacts the fingerprint module, obtains the multiframe fingerprint image of continuous acquisition.
Step S402, S102 is identical the step of with first embodiment, does not repeat herein.
Step S403, S103 is identical the step of with first embodiment, does not repeat herein.
Step S404, S104 is identical the step of with first embodiment, does not repeat herein.
The present embodiment, when fingerprint is gathered, by a fingerprint tough, continuously acquiring multiframe fingerprint image to carry out
Contrast, with the fast effect of acquisition speed.For example in once contacting, preferably continuously acquire three frames to be tested, usual institute
The time of cost is no more than 1 second.And due to be from a finger continuous acquisition to image, so in fingerprint module for good
Product, in the case of the image clearly of its typing is effective, test APP recognizes that correct probability is very high, can reach very fast and calibrated
Test effect.
Refer to Fig. 5, the embodiment of detection method the 5th, the present embodiment based on first embodiment, to wherein
The step of S101 replaced, and increased step S505.Specifically：
Step S500, S100 is identical the step of with first embodiment, does not repeat herein.
Step S501, obtains the multiframe fingerprint image of continuous acquisition, and is stored in internal memory.Wherein, volatibility is inside saved as
Carrier, with the non-registering characteristic of power-off.
Step S502, S102 is identical the step of with first embodiment, does not repeat herein.
Step S503, S103 is identical the step of with first embodiment, does not repeat herein.Step S505 is performed after execution.
Step S504, S104 is identical the step of with first embodiment, does not repeat herein.Step S505 is performed after execution.
Step S505, by the fingerprint image release in the internal memory.
The present embodiment, is stored in internal memory by by fingerprint image, and is just released after usage, then be not in
Potential safety hazard, and do not interfere with normally using for user.
Refer to Fig. 6, the embodiment of detection means of the present invention, a kind of detection means, for detecting mobile terminal fingerprint mould
The fingerprint identification function of group, the detection means includes：
Interface interchange module 100, for when test instruction is obtained, direct access being applied for tested by default
Service Service control the fingerprint module to start input function；Wherein it is possible to pre-build one for fingerprint module
Service Service, the Service can be test for application APP direct access, and call for providing test and connect
Mouthful；So as to start input function by the Service, and obtain fingerprint image.
Typing module 101, the multiframe fingerprint image for obtaining continuous acquisition；Wherein, multiframe fingerprint image can be one
Multiple fingerprint images, or continuously press several times that secondary finger is obtained when pressing, and an at least frame fingerprint image is obtained every time
Picture, is repeatedly pressed for example with same Fingerprint Model.
Matching module 102, for fingerprint image described in multiframe to be compared, judges whether to be mutually distinguishable successfully；
Wherein, being compared can be with a fingerprint image for reference to contrasting other fingerprint images, it is also possible to each fingerprint image
Other fingerprint images are all contrasted as reference.
Determination module 103, if being judged to it is that the fingerprint for judging the fingerprint module is known for the matching module 102
Other function is normal；Otherwise it is judged to abnormal.
The present embodiment, by the way that directly control fingerprint module carries out fingerprint collecting and multiframe fingerprint image is mutually compared, then exists
When being tested, cumbersome flow in existing operating system can be avoided, for example, skip primary Android Android system and musted
Coded lock, fingerprinting operation authority of palpus etc. are required so that testing process is simpler, have reached the effect for improving testing efficiency.And
And in this testing scheme, test is completed by can at least accomplishing typing two field pictures.
Preferably, the matching module 102 specifically for：
The fingerprint template be space-time, by gather the first frame described in fingerprint image be set to fingerprint masterplate, using as
Fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate as sample, and by the sample and the fingerprint mould
Version is matched and is obtained matching result.
If the matching result is failure, judgement is mutually distinguishable failure.
If the matching result is successfully, fingerprint template will be updated to as the fingerprint image of sample, using as
Fingerprint image described in the next frame of the fingerprint image of fingerprint masterplate continues to match as sample, until being matched to default frame institute
State fingerprint image；Wherein, the default frame can be set as last frame, naturally it is also possible to be set as 3 frames, 4 frames or 5 frames etc..
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
Because in the gatherer process of multiframe fingerprint image, finger might have shake or slight mobile, so two frames refer to
The more remote difference in interval of print image is bigger, and adjacent two frames difference is minimum.And the present embodiment, dynamically set by masterplate, then all the time
Recognized with adjacent two frames fingerprint image, such that it is able to effectively reduce the probability of wrong identification.Further, the program is reference
The fingerprint framework of primary android and build, therefore suitable for all android fingerprint schemes manufacturers.So as to have audient wide
It is general, it is easy to the effect of popularization.
Or the matching module 102 described in other schemes can also be specifically for：
Fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will subsequently preset fingerprint image described in frame successively
As sample, and each sample is matched with the fingerprint masterplate successively and matching result is obtained；Wherein, it is described
Default frame can be set as last frame, naturally it is also possible to be set as 3 frames, 4 frames or 5 frames etc..
If any matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match.
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
The present embodiment, relative to the scheme that masterplate is dynamically set, with the relatively simple advantage of flow, it is adaptable in collection
The frame number of fingerprint is less, and the scene of fingerprint is recorded using mechanical finger.Further, the program is with reference to primary
The fingerprint framework of android and build, therefore suitable for all android fingerprint schemes manufacturers.So as to have audient extensively, easily
In the effect promoted.
Preferably, the typing module 101 specifically for：
During a finger contacts the fingerprint module, the multiframe fingerprint image of continuous acquisition is obtained.
The present embodiment, when fingerprint is gathered, by a fingerprint tough, continuously acquiring multiframe fingerprint image to carry out
Contrast, with the fast effect of acquisition speed.For example in once contacting, preferably continuously acquire three frames to be tested, generally
The time for being spent is no more than 1 second.And due to be from a finger continuous acquisition to image, so in fingerprint module for good
Product, in the case of the image clearly of its typing is effective, test APP recognizes that correct probability is very high, can reach very fast and calibrated
Test effect.
Preferably, the typing module 101 specifically for：The multiframe fingerprint image of continuous acquisition is obtained, and is stored in interior
In depositing；Wherein, volatibility carrier is inside saved as, with the non-registering characteristic of power-off.
And the typing module 101, the fingerprint identification function for judging the fingerprint module in the determination module 103 is
It is no it is normal after, be additionally operable to：By the fingerprint image release in the internal memory.
The present embodiment, is stored in internal memory by by fingerprint image, and is just released after usage, then be not in
Potential safety hazard, and do not interfere with normally using for user.
It should be noted that herein, term " including ", "comprising" or its any other variant be intended to non-row
His property is included, so that process, method, article or device including a series of key elements not only include those key elements, and
And also include other key elements being not expressly set out, or also include for this process, method, article or device institute are intrinsic
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Also there is other identical element in the process of key element, method, article or device.
The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably implementation method.Based on such understanding, technical scheme is substantially done to prior art in other words
The part for going out contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions are used to so that a station terminal equipment (can be mobile terminal, calculate
Machine, server, air-conditioner, or network equipment etc.) perform method described in each embodiment of the invention.
The preferred embodiments of the present invention are these are only, the scope of the claims of the invention is not thereby limited, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of detection method, the fingerprint identification function for detecting mobile terminal fingerprint module, it is characterised in that the detection
Method comprises the following steps：
When test instruction is obtained, by the default service for being tested application direct access, the fingerprint module is controlled
Start input function；
Obtain the multiframe fingerprint image of continuous acquisition；
Fingerprint image described in multiframe is compared, judges whether to be mutually distinguishable successfully；
If so, then judging that the fingerprint identification function of the fingerprint module is normal；Otherwise, it is determined that being abnormal.
2. detection method as claimed in claim 1, it is characterised in that it is described fingerprint image described in multiframe is carried out it is mutually right
Than judging whether that being mutually distinguishable successful step specifically includes：
It is space-time in the fingerprint template, fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will be used as fingerprint
Fingerprint image described in the next frame of the fingerprint image of masterplate enters the sample with the fingerprint masterplate as sample
Row matching simultaneously obtains matching result；
If the matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If the matching result is successfully, fingerprint template will be updated to as the fingerprint image of sample, will be used as fingerprint
Fingerprint image described in the next frame of the fingerprint image of masterplate continues to match as sample, until be matched to described in default frame referring to
Print image；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
3. detection method as claimed in claim 1, it is characterised in that it is described fingerprint image described in multiframe is carried out it is mutually right
Than judging whether that being mutually distinguishable successful step specifically includes：
Fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will subsequently preset fingerprint image conduct successively described in frame
Sample, and each sample is matched with the fingerprint masterplate successively and matching result is obtained；
If any matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
4. detection method as claimed in claim 1, it is characterised in that the step of the multiframe fingerprint image of the acquisition continuous acquisition
Suddenly specifically include：
During a finger contacts the fingerprint module, the multiframe fingerprint image of continuous acquisition is obtained.
5. detection method as claimed in claim 1, it is characterised in that the step of the multiframe fingerprint image of the acquisition continuous acquisition
Suddenly specifically include：
The multiframe fingerprint image of continuous acquisition is obtained, and is stored in internal memory；
After whether the fingerprint identification function for judging the fingerprint module is normal, also including step：
By the fingerprint image release in the internal memory.
6. a kind of detection means, the fingerprint identification function for detecting mobile terminal fingerprint module, it is characterised in that the detection
Device includes：
Interface interchange module, for when test instruction is obtained, by the default service for being tested application direct access,
The fingerprint module is controlled to start input function；
Typing module, the multiframe fingerprint image for obtaining continuous acquisition；
Matching module, for fingerprint image described in multiframe to be compared, judges whether to be mutually distinguishable successfully；
Determination module, if being judged to it is to judge that the fingerprint identification function of the fingerprint module is normal for the matching module；
Otherwise it is judged to abnormal.
7. detection means as claimed in claim 6, it is characterised in that the matching module specifically for：
It is space-time in the fingerprint template, fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will be used as fingerprint
Fingerprint image described in the next frame of the fingerprint image of masterplate enters the sample with the fingerprint masterplate as sample
Row matching simultaneously obtains matching result；
If the matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If the matching result is successfully, fingerprint template will be updated to as the fingerprint image of sample, will be used as fingerprint
Fingerprint image described in the next frame of the fingerprint image of masterplate continues to match as sample, until be matched to described in default frame referring to
Print image；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
8. detection means as claimed in claim 6, it is characterised in that the matching module specifically for：
It is described to be compared fingerprint image described in multiframe, judge whether that being mutually distinguishable successful step specifically includes：
Fingerprint image described in the first frame that will be gathered is set to fingerprint masterplate, will subsequently preset fingerprint image conduct successively described in frame
Sample, and each sample is matched with the fingerprint masterplate successively and matching result is obtained；
If any matching result is failure, judgement is mutually distinguishable failure, and terminates subsequent match；
If whole matching results are all that successfully, judgement is mutually distinguishable successfully.
9. detection means as claimed in claim 6, it is characterised in that the typing module specifically for：
During a finger contacts the fingerprint module, the multiframe fingerprint image of continuous acquisition is obtained.
10. detection means as claimed in claim 6, it is characterised in that the typing module specifically for：Obtain continuous acquisition
Multiframe fingerprint image, and be stored in internal memory；
And the typing module, the determination module judge the fingerprint identification function of the fingerprint module it is whether normal it
Afterwards, it is additionally operable to：By the fingerprint image release in the internal memory.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107992805A (en) * | 2017-11-17 | 2018-05-04 | 大唐终端技术有限公司 | The fingerprint typing of intelligent mobile terminal high reliability solves method, intelligent mobile terminal |
| CN109709471A (en) * | 2019-01-16 | 2019-05-03 | 昆山丘钛微电子科技有限公司 | A kind of test fixture, the test method and device of fingerprint mould group |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101004788A (en) * | 2006-01-17 | 2007-07-25 | 公安部第一研究所 | System and method of evaluating algorithm for recognizing fingerprint on certificate |
| CN101551857A (en) * | 2009-05-13 | 2009-10-07 | 西南交通大学 | High-precise palm-print identifying arithmetic based on single matching fractional layer combination |
-
2017
- 2017-01-22 CN CN201710053290.XA patent/CN106845420A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101004788A (en) * | 2006-01-17 | 2007-07-25 | 公安部第一研究所 | System and method of evaluating algorithm for recognizing fingerprint on certificate |
| CN101551857A (en) * | 2009-05-13 | 2009-10-07 | 西南交通大学 | High-precise palm-print identifying arithmetic based on single matching fractional layer combination |
Non-Patent Citations (4)
| Title |
|---|
| 中华人民共和国公安部: "指纹防盗锁通用技术条件", 《中华人名共和国公共安全行业标准》 * |
| 广东必达保安系统有限公司: "广东必达保安系统有限公司企业器件标准指纹模块技术条件", 《百度文库》 * |
| 指纹识别系统性能评价方法: "指纹识别系统性能评价方法", 《西安电子科技大学学报》 * |
| 深圳市凯迈生物识别技术有限公司: "大家常说指纹模块的"认假率"、"拒真率"、"误识率"、"拒识率"到底是什么意思，您真的知道吗？", 《深圳市凯迈生物识别技术有限公司》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107992805A (en) * | 2017-11-17 | 2018-05-04 | 大唐终端技术有限公司 | The fingerprint typing of intelligent mobile terminal high reliability solves method, intelligent mobile terminal |
| CN109709471A (en) * | 2019-01-16 | 2019-05-03 | 昆山丘钛微电子科技有限公司 | A kind of test fixture, the test method and device of fingerprint mould group |
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Application publication date: 20170613 |